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IEEE International Congress on Big Data
IEEE International Congress on Big Data
召开年:
2014
召开地:
Washington, DC(US)
出版时间:
-
会议文集:
-
会议论文
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1.
Uncertainty quantification in performance evaluation of manufacturing processes
机译:
制造过程性能评估中的不确定性量化
作者:
Nannapaneni Saideep
;
Mahadevan Sankaran
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
belief networks;
manufacturing processes;
production engineering computing;
uncertainty handling;
Bayesian networks;
UQ methodology;
aleatory sources;
dimension reduction approach;
energy consumption;
epistemic sources;
high-dimensional problems;
injection molding process;
manufacturing process;
performance evaluation;
sustainability;
uncertainty quantification;
variance-based global sensitivity analysis;
welding process;
Bayes methods;
Calibration;
Data models;
Manufacturing processes;
Polymers;
Uncertainty;
Bayesian;
dimension reduction;
manufacturing;
uncertainty quantification;
2.
Bridging high velocity and high volume industrial big data through distributed in-memory storage analytics
机译:
通过分布式内存存储和分析桥接高速和大容量工业大数据
作者:
Williams Jenny Weisenberg
;
Aggour Kareem S.
;
Interrante John
;
McHugh Justin
;
Pool Eric
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
distributed memory systems;
gas turbines;
production engineering computing;
sensors;
time series;
GE Power and Water's Remote Monitoring and Diagnostics Center;
big datasets;
distributed in-memory analytics;
distributed in-memory storage;
gas turbines;
high velocity analysis;
high velocity big time series sensor data;
high velocity industrial big data;
high velocity time series sensor data;
high volume big time series sensor data;
high volume industrial big data;
in-memory data grids;
industrial equipment;
mid-term storage;
near real-time analysis;
sensors;
time series data;
Big data;
Data structures;
Distributed databases;
Hardware;
Memory management;
Real-time systems;
Time series analysis;
big data;
distributed computing;
in-memory data grids;
remote monitoring and diagnostics;
time series data;
3.
Content-Based Access Control: Use data content to assist access control for large-scale content-centric databases
机译:
基于内容的访问控制:使用数据内容来辅助对以内容为中心的大规模数据库的访问控制
作者:
Wenrong Zeng
;
Yuhao Yang
;
Bo Luo
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
authorisation;
database management systems;
text analysis;
CBAC enforcement efficiency improvement;
CBAC model;
MLS;
Oracle virtual private database;
RBAC;
VPD;
access control decision making;
access rights;
application scenarios;
content annotation mechanism;
content similarity;
content-based access control policies;
content-based blocking mechanism;
content-centric information sharing;
data content;
data object;
data objects;
database access control models;
designated records;
enforcement mechanism;
ex-post facto auditing;
explicit accessible record identification;
large-scale content-centric data sharing;
large-scale content-centric databases;
multilevel security;
over-privileged users;
performance improvement;
privilege misuse detection;
role-based access control;
short-text snippets;
textual content matching;
Authorization;
Awards activities;
Data models;
Databases;
Semantics;
Content-based Access Control;
Database Security;
4.
Researching persons organizations: AWAKE: From text to an entity-centric knowledge base
机译:
研究人员和组织:醒来:从文本到以实体为中心的知识库
作者:
Boschee Elizabeth
;
Freedman Marjorie
;
Khanwalkar Saurabh
;
Kumar Ajit
;
Srivastava Anurag
;
Weischedel Ralph
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
document handling;
AWAKE;
documents;
entity-centric knowledge base;
foreign language text;
information extraction;
information visualisation;
language understanding tools;
multiple modalities;
plug-and-play;
scalability;
Algorithm design and analysis;
Computer architecture;
Databases;
Knowledge based systems;
Ontologies;
Organizations;
Pipelines;
automatic knowledge base construction. information extraction;
entity disambiguation;
entity discovery;
5.
Extracting discriminative shapelets from heterogeneous sensor data
机译:
从异构传感器数据中提取判别性Shapelet
作者:
Patri Om P.
;
Sharma Abhishek B.
;
Haifeng Chen
;
Guofei Jiang
;
Panangadan Anand V.
;
Prasanna Viktor K.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data mining;
feature selection;
time series;
Big Data;
SF;
Shapelet Forests;
discriminative shapelets;
feature selection;
heterogeneous sensor data;
large datasets;
multivariate data;
multivariate time series;
shapelet extraction;
shapelet-based algorithms;
Data mining;
Decision trees;
Feature extraction;
Kernel;
Monitoring;
Time series analysis;
Training;
Feature Selection;
Multivariate Data;
Shapelet Forests;
Time Series Shapelets;
mRMR;
6.
Big data predictive analtyics for proactive semiconductor equipment maintenance
机译:
大数据预测分析可主动进行半导体设备维护
作者:
Munirathinam Sathyan
;
Ramadoss B.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data analysis;
maintenance engineering;
production engineering computing;
productivity;
semiconductor device manufacture;
Big Data predictive analytics;
OEE;
data volume;
equipment downtime;
machine manufacturing productivity metric;
manufacturing industry;
overall equipment effectiveness;
proactive semiconductor equipment maintenance;
semiconductor chip processing;
semiconductor manufacturing;
Big data;
Manufacturing processes;
Predictive maintenance;
Predictive models;
Big Data;
Equipment;
OEE;
Predictive Analytics (PA);
Semiconductor;
7.
Increasing the accessibility to Big Data systems via a common services API
机译:
通过通用服务API增加对大数据系统的可访问性
作者:
Malcolm Rohan
;
Morrison Cherrelle
;
Grandison Tyrone
;
Thorpe Sean
;
Christie Kimron
;
Wallace Akim
;
Green Dale
;
Jarrett Julian
;
Campbell Arnett
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
application program interfaces;
business data processing;
Big Data systems accessibility;
Big Data technologies;
Hadoop;
common services API;
companies;
enterprises;
legacy languages;
legacy systems;
services application programming interface;
short-term service quality;
Arrays;
Big data;
Business;
Semantics;
Standards organizations;
XML;
API;
Big Data;
Big Data Systems;
Hadoop;
8.
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns
机译:
时空索引技术可有效挖掘时空共现模式
作者:
Aydin Berkay
;
Kempton Dustin
;
Akkineni Vijay
;
Gopavaram Shaktidhar Reddy
;
Pillai Karthik Ganesan
;
Angryk Rafal
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
database indexing;
spatiotemporal phenomena;
Chebyshev polynomial indexing;
SETI;
data access;
polygon-based representations;
scalable-and-efficient trajectory index;
spatiotemporal co-occurrence pattern mining;
spatiotemporal datasets;
spatiotemporal indexing structures;
specifically-designated spatiotemporal indexing techniques;
Atmospheric measurements;
Data mining;
Indexing;
Particle measurements;
Spatiotemporal phenomena;
Trajectory;
9.
Multi-objective optimization for resilient airline networks using socioeconomic-environmental data
机译:
利用社会经济环境数据对弹性航空公司网络进行多目标优化
作者:
Sawai Hidefumi
;
Sato Aki-Hiro
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
airports;
government data processing;
optimisation;
risk analysis;
socio-economic effects;
travel industry;
Japanese domestic air transportation information;
Japanese domestic airline network;
Japanese governmental bureaus;
NOAA tsunami data and information;
airports;
convenience metric;
economy metric;
flights;
multiobjective optimization;
resilient airline network;
risk metric;
socioeconomic-environmental data;
Airports;
Hazards;
Measurement;
Optimization;
Sociology;
Statistics;
Tsunami;
10.
Taking an electronic ticketing system to the cloud: Design and discussion
机译:
将电子票务系统带入云端:设计和讨论
作者:
Araujo Filipe
;
Curado Marilia
;
Furtado Pedro
;
Barbosa Ramiro
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
cloud computing;
financial data processing;
transportation;
analysis database;
cloud-based resources;
electronic ticketing system;
enterprise service bus;
hardware stack;
industrial project;
online database;
software stack;
three-tiered architecture;
transportation systems;
Cloud computing;
Companies;
Databases;
Hardware;
Security;
Servers;
Transportation;
Cloud computing;
Electronic ticketing systems;
Transportation systems;
11.
BASIC: An alternative to BASE for large-scale data management system
机译:
BASIC:大规模数据管理系统的BASE的替代方案
作者:
Lengdong Wu
;
Li-Yan Yuan
;
Jia-Huai You
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
protocols;
ACID model;
BASE model;
BASIC model;
Big Data applications;
atomic multipartition operation;
basic availability-scalability-instant consistency model;
data partitioning;
large-scale data management system;
timestamp-based formula protocol;
Availability;
Distributed databases;
Protocols;
Scalability;
Schedules;
Servers;
Concurrency Control;
Consistency;
Scalability;
12.
BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata
机译:
BayesWipe:一种多模式系统,用于数据清理和对结构化大数据的一致查询应答
作者:
De Suvranu
;
Yuheng Hu
;
Yi Chen
;
Kambhampati S.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
learning (artificial intelligence);
query processing;
BayesWipe system;
Bayesian generative model;
attribute values correction;
data cleaning;
data deduplication;
data standardization;
database;
learning;
query answering;
record matching;
statistical error model;
structured Big Data;
Bayes methods;
Big data;
Cleaning;
Data models;
Mathematical model;
Query processing;
data cleaning;
databases;
query rewriting;
uncertainty;
web databases;
13.
FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems
机译:
FusionFS:致力于在超大规模高性能计算系统上支持数据密集型科学应用
作者:
Dongfang Zhao
;
Zhao Zhang
;
Xiaobing Zhou
;
Tonglin Li
;
Ke Wang
;
Kimpe Dries
;
Carns Philip
;
Ross Robert
;
Raicu Ioan
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
distributed databases;
meta data;
parallel processing;
storage management;
FusionFS distributed file system;
GPFS;
HDFS;
IBM Blue Gene-P supercomputer;
PVFS;
data-intensive;
distributed storage layer;
high-performance computing systems;
metadata-intensive;
storage resources;
write-intensive operations;
Computer architecture;
Distributed databases;
Fuses;
Protocols;
Servers;
Supercomputers;
Throughput;
14.
Partial rollback-based scheduling on in-memory transactional data grids
机译:
基于部分回滚的内存事务数据网格调度
作者:
Junwhan Kim
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
SQL;
concurrency control;
grid computing;
public domain software;
relational databases;
scheduling;
synchronisation;
MV transactional memory;
NoSQL data grids;
PTS;
Red Hat Infinispan;
backoff times;
concurrency control model;
conflicting transactions;
data-intensive applications;
distributed transactional memory;
in-memory transactional data grids;
lock-based distributed synchronization;
multiple object;
multiple object versions;
multiversioned DTM model;
multiversioning model;
object level;
open-source transactional in-memory data store;
partial-rollback-based scheduling;
partial-rollback-based transactional scheduler;
partially-rolled-back transaction;
read-only transaction concurrency;
transactional scheduler;
transactional throughput improvement;
write transaction concurrency;
Concurrency control;
Concurrent computing;
Delays;
Partial transmit sequences;
Protocols;
Scalability;
Synchronization;
15.
PigOut: Making multiple Hadoop clusters work together
机译:
PigOut:使多个Hadoop集群协同工作
作者:
Kyungho Jeon
;
Chandrashekhara Sharath
;
Feng Shen
;
Mehra Sanyam
;
Kennedy Oliver
;
Ko Steven Y.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data handling;
high level languages;
parallel processing;
pattern clustering;
query languages;
Hadoop MapReduce;
Hadoop clusters;
Pig Latin;
PigMix;
PigOut automatically-generated scripts;
federated data processing;
high-level language;
query language;
user-supplied script;
workflow descriptions;
Asia;
Data processing;
Europe;
Manuals;
Optimization;
Programming;
Writing;
16.
Optimizing load balancing and data-locality with data-aware scheduling
机译:
通过数据感知调度优化负载平衡和数据局部性
作者:
Ke Wang
;
Xraobing Zhou
;
Tonglin Li
;
Dongfang Zhao
;
Lang Michael
;
Raicu Ioan
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
directed graphs;
parallel processing;
resource allocation;
scheduling;
MATRIX;
data-aware scheduling;
data-aware work stealing technique;
data-locality;
dedicated queues;
direct acyclic graphs;
distributed key-value store;
distributed task scheduler;
load balancing;
many-task computing;
shared queues;
task dependency;
task metadata;
Computer architecture;
Distributed databases;
Load management;
Processor scheduling;
Scheduling;
Servers;
Throughput;
data-aware scheduling;
data-intensive computing;
key-value stores;
many-task computing;
work stealing;
17.
Detecting and identifying system changes in the cloud via discovery by example
机译:
通过示例发现来检测和识别云中的系统更改
作者:
Hao Chen
;
Duri Sastry S.
;
Bala Vasanth
;
Bila Nilton T.
;
Isci Canturk
;
Coskun Ayse K.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
computer centres;
software packages;
1-D histogram fingerprint;
base-name fingerprint;
cloud platforms;
security patches;
software installation;
Big data;
Feature extraction;
Fingerprint recognition;
Histograms;
Monitoring;
Security;
Software;
18.
Toward smart manufacturing using decision analytics
机译:
使用决策分析走向智能制造
作者:
Brodsky Alexander
;
Krishnamoorthy Mohan
;
Menasce Daniel /A/.
;
Guodong Shao
;
Rachuri Sudarsan
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
database languages;
learning (artificial intelligence);
manufacturing data processing;
data manipulation;
decision guidance analytic language;
decision optimization;
machine learning;
smart manufacturing;
stochastic processes;
temporal manufacturing processes;
Analytical models;
Computational modeling;
Data models;
Manufacturing;
Mathematical model;
Monitoring;
Optimization;
data analytics;
decision guidance;
decision support;
optimization;
smart manufacturing;
19.
Path knowledge discovery: Association mining based on multi-category lexicons
机译:
路径知识发现:基于多类别词典的关联挖掘
作者:
Chen Liu
;
Chu Wesley W.
;
Sabb Fred
;
Parker D. Stott
;
Korpela Joseph
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
content-based retrieval;
data mining;
association path mining;
fine-granularity knowledge-based content retrieval;
lexicon-based association expansion;
multicategory lexicons;
pairwise association strength;
path knowledge discovery;
Association rules;
Correlation;
Indexes;
Joining processes;
Knowledge discovery;
Search problems;
content-based retrieval;
path data mining;
path knowledge discovery;
text mining;
20.
Ontology-driven data integration for railway asset monitoring applications
机译:
本体驱动的数据集成在铁路资产监控应用中
作者:
Tutcher Jonathan
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data integration;
decision support systems;
ontologies (artificial intelligence);
open systems;
railway engineering;
AMaaS;
asset monitoring as a service;
data driven decision support;
information systems;
interoperability;
ontology-driven data integration;
rail networks;
railway asset monitoring applications;
semantic data modeling;
transportation networks;
Data models;
Industries;
Monitoring;
Ontologies;
Rail transportation;
Rails;
Resource description framework;
21.
The Bot will serve you now: Automating access to archival materials
机译:
机器人现在将为您服务:自动访问存档材料
作者:
Westgard Joshua /A/.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Web sites;
document handling;
information retrieval;
meta data;
multi-agent systems;
public domain software;
Wikidata;
Wikipedia articles;
archival materials;
automatic linking;
autonomous agents;
batch loading;
image files;
metadata;
multipage document handling;
open-source software;
organizational names;
repository;
Educational institutions;
Electronic publishing;
Encyclopedias;
Internet;
Libraries;
Open source software;
Autonomous agents;
image processing;
open source software;
semantic web;
social computing;
22.
Incremental and parallel spatial association mining
机译:
增量和并行空间关联挖掘
作者:
Jin Soung Yoo
;
Boulware Douglas
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
parallel processing;
visual databases;
MapReduce framework;
incremental spatial association mining;
large-scale spatial data processing;
parallel spatial association mining;
spatial association pattern identification;
Association rules;
Conferences;
Frequency measurement;
Knowledge discovery;
Spatial databases;
incremental and parallel approach;
spatial association mining;
23.
Repair efficient storage codes via combinatorial configurations
机译:
通过组合配置修复有效的存储代码
作者:
Bing Zhu
;
Hui Li
;
Shum Kenneth W.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
codes;
combinatorial mathematics;
distributed databases;
FR;
combinatorial configurations;
efficient storage codes;
fractional repetition codes;
regenerating codes;
uncoded repair property;
Big data;
Distributed databases;
Educational institutions;
Encoding;
Joining processes;
Maintenance engineering;
Network coding;
Distributed storage;
combinatorial designs;
regenerating codes;
uncoded repair;
24.
Future directions of humans in Big Data Research: Summary of the 1st workshop on Human-Centered Big Data Research
机译:
人类在大数据研究中的未来方向:以人为中心的大数据研究第一次 st sup>研讨会摘要
作者:
Paul Celeste Lyn
;
Argenta Chris
;
Elm William
;
Endert Alex
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big data;
Business;
Communities;
Conferences;
Data models;
Educational institutions;
Laboratories;
Big data;
human-centered computing;
workshop;
25.
Big data machine learning and graph analytics: Current state and future challenges
机译:
大数据机器学习和图形分析:当前状态和未来挑战
作者:
Huang He Helen
;
Hang Liu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
graph theory;
learning (artificial intelligence);
Big Data algorithms;
Big Data machine learning;
business success;
computing resources;
cybersecurity;
graph analytics;
hardware innovative designs;
next-generation computing systems;
scientific discovery;
software innovative designs;
storage resources;
Big data;
Computer architecture;
Conferences;
Graphics processing units;
Hardware;
Machine learning algorithms;
Nonvolatile memory;
Big Data;
Graphics Processing Unit;
Hardware and Software Co-Design;
Lambda Architecture;
Non-Volatile Memory;
Solid-State Drive;
26.
Large scale author name disambiguation in digital libraries
机译:
数字图书馆中大型作者姓名的消除歧义
作者:
Khabsa Madian
;
Treeratpituk Pucktada
;
Giles C. Lee
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
digital libraries;
pattern clustering;
author name disambiguation;
blocking functions;
clustering algorithm;
digital libraries;
distance function;
Clustering algorithms;
Computer science;
Databases;
Educational institutions;
Libraries;
Machine learning algorithms;
Noise;
Clustering;
Disambiguation;
27.
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series
机译:
一种用于记忆和研究多元队列时间序列表型动力学的快速且高效存储的算法
作者:
Nemati Shamim
;
Ghassemi Mohammad M.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
bioinformatics;
data mining;
information retrieval;
learning (artificial intelligence);
physiology;
time series;
MIMIC-II database;
SLDS;
data mining;
machine learning;
medical informatics;
multiparameter intelligent monitoring in intensive care;
multivariate cohort time series;
phenotypic dynamics retrieval;
physiological pattern detection;
physiological time series;
switching linear dynamical system;
vital sign time series;
Biomedical monitoring;
Covariance matrices;
Heuristic algorithms;
Inference algorithms;
Superluminescent diodes;
Switches;
Time series analysis;
28.
A metadata infrastructure for the analysis of parliamentary proceedings
机译:
元数据基础结构,用于分析议会程序
作者:
Gartner Richard
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
XML;
data analysis;
government data processing;
law administration;
meta data;
Canada;
DILIPAD;
Digging Into Data Challenge;
Digging into Linked Parliamentary Data;
Netherlands;
PML;
Parliamentary Metadata Language;
United Kingdom;
contextual metadata infrastructure;
large-scale diachronic content analyses;
parliamentary proceeding analysis;
structured XML data;
Data mining;
Educational institutions;
History;
Materials;
Pragmatics;
Semantics;
XML;
XML;
corpus analysis;
metadata;
parliamentary history;
29.
A dynamic programming approach for 4D flight route optimization
机译:
4D飞行路线优化的动态编程方法
作者:
Kiss-Toth Christian
;
Takacs Gabor
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
aerospace computing;
aerospace simulation;
collections of physical data;
dynamic programming;
4D flight route optimization;
Dijkstra algorithm;
FQ2 challenge;
GE Flight Quest 2;
aircraft positions;
aviation related data;
data tables;
dynamic programming;
flight plan;
fuel consumption;
great circle route;
local search techniques;
open source simulator;
weather information;
wind forecasts;
Aircraft;
Airports;
Delays;
Dynamic programming;
Fuels;
Optimization;
Planning;
GE Flight Quest;
dynamic programming;
route optimization;
30.
A two-sided market mechanism for trading big data computing commodities
机译:
大数据计算商品交易的双向市场机制
作者:
Mashayekhy Lena
;
Nejad Mahyar Movahed
;
Grosu Daniel
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
Web services;
cloud computing;
pricing;
big data applications;
big data computing commodities;
big data computing services;
big data trend;
cloud computing platforms;
compute-intensive applications;
cost benefit ratios;
data-intensive applications;
economic requirements;
pricing;
trading;
two-sided market mechanism;
Big data;
Cloud computing;
Cost accounting;
Economics;
Market research;
Pricing;
Resource management;
big data;
cloud computing;
two-sided auction;
31.
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective
机译:
从租户的角度安排虚拟MapReduce集群上的MapReduce任务调度
作者:
Jia-Chun Lin
;
Ming-Chang Lee
;
Yahyapour Ramin
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
parallel programming;
pattern clustering;
scheduling;
BFTS scheme;
Hadoop;
MapReduce task scheduling;
VPS;
best-fit task scheduling scheme;
data locality;
job turnaround time;
scheduling algorithm;
tenant perspective;
virtual MapReduce clusters;
virtual private servers;
Benchmark testing;
Clustering algorithms;
Optical wavelength conversion;
Schedules;
Scheduling;
Scheduling algorithms;
Servers;
MapReduce;
data locality;
map-task scheduling;
reduce-task scheduling;
virtual MapReduce cluster;
32.
FlexDAS: A flexible direct attached storage for I/O intensive applications
机译:
FlexDAS:用于I / O密集型应用程序的灵活直接连接存储
作者:
Ono Takahito
;
Konishi Yasuo
;
Tanimoto Teruo
;
Iwamatsu Noboru
;
Miyoshi Takanori
;
Tanaka J.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data analysis;
DAN;
DAS architecture;
FlexDAS switch;
HDD;
I-O intensive applications;
big data analysis;
data storing applications;
disk area network;
flexible direct attached storage;
Bandwidth;
Computer architecture;
Ports (Computers);
Prototypes;
Servers;
Switches;
Synthetic aperture sonar;
33.
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis
机译:
使用DBStream进行大规模网络流量监控,该系统用于滚动式大数据分析
作者:
Bar Arian
;
Finamore Alessandro
;
Casas Pedro
;
Golab Lukasz
;
Mellia Marco
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
IP networks;
SQL;
computer network performance evaluation;
data warehouses;
parallel processing;
query processing;
telecommunication traffic;
DBStream;
SQL-based system;
high-volume data streams;
incremental queries;
large-scale network traffic monitoring data;
parallel data processing engine;
performance evaluation;
rolling Big Data analysis;
rolling network monitoring workloads;
scalable network monitoring tool design;
Benchmark testing;
Data analysis;
Delays;
Engines;
IP networks;
Monitoring;
Sparks;
Big Data Analysis;
Data Stream Processing;
Network Data Analysis;
System Performance;
34.
MMap: Fast billion-scale graph computation on a PC via memory mapping
机译:
MMap:通过内存映射在PC上快速进行十亿规模的图形计算
作者:
Zhiyuan Lin
;
Minsuk Kahng
;
Sabrin Kaeser Md
;
Chau Duen Horng Polo
;
Ho Lee
;
Kang U.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Internet;
data structures;
graph theory;
graphs;
operating system kernels;
storage management;
GraphChi;
MMap;
PC;
PageRank;
TurboGraph;
Yahoo Web graph;
billion-node graphs;
billion-scale graph computation;
billion-scale graphs;
memory management strategies;
memory mapping;
operating systems;
packaged code;
scalable graph algorithms;
sophisticated data structures;
Algorithm design and analysis;
Data structures;
Memory management;
Random access memory;
Runtime;
Twitter;
Vectors;
35.
Distributed class dependent feature analysis — A big data approach
机译:
分布式类相关的特征分析—大数据方法
作者:
Khoa Luu
;
Chenchen Zhu
;
Savvides Marios
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
learning (artificial intelligence);
optimisation;
pattern classification;
AR database;
Big Data;
Caltech101;
Caltech256;
DCFA;
alternating direction method of multipliers;
class-specific optimal filters;
classification accuracies;
classifier;
communication delays;
computer vision;
convergence rate;
distributed class dependent feature analysis;
distributed optimization problem;
face recognition;
lsub1/sub-norm optimization problem;
large-scale machine learning problem;
large-scale object databases;
machine learning algorithm;
nondistributed algorithm;
object recognition;
occlusions;
over-complete dictionary;
pattern recognition;
robust distributed framework;
sparse representation;
Big data;
Databases;
Dictionaries;
Face;
Machine learning algorithms;
Training;
Virtual machining;
Alternative Direction Method of Multipliers;
Big Data;
Class-dependence Feature Analysis;
Distributed Optimization Problems;
Spare Representation;
36.
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability
机译:
Rainbow:具有动态可伸缩性的分布式分层RDF三元存储
作者:
Rong Gu
;
Wei Hu
;
Yihua Huang
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
database indexing;
distributed processing;
fault tolerant computing;
query processing;
semantic Web;
statistical analysis;
Big Data;
HBase;
RDF data indexing scheme;
RDF data partitioning;
Rainbow;
consistent hashing algorithm;
distributed hierarchical RDF triple store;
distributed hierarchical storage architecture;
distributed memory storage;
dynamic scalability;
fault tolerance;
hybrid indexing scheme;
query performance;
scalable persistent storage;
semantic Web community;
single-node RDF data stores;
statistical analysis;
user query space;
Distributed databases;
Fault tolerance;
Fault tolerant systems;
Indexing;
Pattern matching;
Resource description framework;
Scalability;
RDF;
SPARQL;
big data;
distributed computing;
37.
A unified approach to network anomaly detection
机译:
统一的网络异常检测方法
作者:
Babaie Tahereh
;
Chawla Sanjay
;
Ardon Sebastien
;
Yue Yu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
computer network security;
hidden Markov models;
Big Data;
HMM;
LDS;
continuous-valued data;
hidden Markov model;
linear dynamical system;
network anomaly detection;
network traffic;
Computer crime;
Correlation;
Hidden Markov models;
IP networks;
Kalman filters;
Ports (Computers);
Robustness;
38.
A system architecture for manufacturing process analysis based on big data and process mining techniques
机译:
基于大数据和过程挖掘技术的制造过程分析系统架构
作者:
Hanna Yang
;
Minjeong Park
;
Minsu Cho
;
Minseok Song
;
Seongjoo Kim
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data analysis;
data mining;
data structures;
manufacturing data processing;
manufacturing processes;
big data;
manufacturing data analysis system;
manufacturing process analysis;
manufacturing process management;
process mining techniques;
structured data;
system architecture;
Algorithm design and analysis;
Big data;
Data analysis;
Data mining;
Heuristic algorithms;
Manufacturing processes;
Hadoop distributed file system (HDFS);
big data;
process mining;
text mining;
39.
A new Zigzag MDS code with optimal encoding and efficient decoding
机译:
具有最佳编码和有效解码功能的新型Zigzag MDS代码
作者:
Jun Chen
;
Hui Li
;
Hanxu Hou
;
Bing Zhu
;
Tai Zhou
;
Lijia Lu
;
Yumeng Zhang
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
codes;
distributed databases;
XOR operation;
distributed file system;
efficient decoding;
erasure codes;
maximum-distance-separable codes;
optimal encoding;
parity blocks;
storage efficiency;
storage systems redundancy;
zigzag MDS code;
Arrays;
Big data;
Complexity theory;
Decoding;
Distributed databases;
Encoding;
Iterative decoding;
Distributed file systems;
Efficient decoding;
MDS codes;
Optimal encoding;
Zigzag decoding;
40.
An efficient scheme to ensure data availability for a cloud service provider
机译:
确保云服务提供商数据可用性的有效方案
作者:
Seungmin Kang
;
Veeravalli Bharadwaj
;
Khin Mi Mi Aung
;
Chao Jin
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
cloud computing;
data integrity;
data protection;
storage management;
Big Data management;
CSP resource capacity;
cloud service provider;
cloud storage systems;
data availability;
data integrity protection;
data processing;
data reliability;
data replication;
data storage;
information technologies;
large-scale storage system;
node failures;
user budgetary constraint;
Availability;
Cloud computing;
Computational modeling;
Data models;
Distributed databases;
Optimization;
Pricing;
Cloud computing;
big data;
data availability;
data replication;
pricing model;
41.
A C library of repair-efficient erasure codes for distributed data storage systems
机译:
分布式数据存储系统的修复效率高的擦除代码的C库
作者:
Chao Tian
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
C language;
distributed databases;
public domain software;
software libraries;
array code;
coding speed;
coding structure;
data arrangement;
decoding function;
decoding interface;
distributed data storage systems;
encoding function;
encoding interface;
open-source C library;
repair-efficient erasure codes;
Arrays;
Complexity theory;
Decoding;
Encoding;
Generators;
Libraries;
Maintenance engineering;
42.
MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and its application to SNOMED CT
机译:
MaPLE:基于格的评估的MapReduce管道及其在SNOMED CT中的应用
作者:
Guo-Qiang Zhang
;
Wei Zhu
;
Mengmeng Sun
;
Shiqiang Tao
;
Bodenreider Olivier
;
Licong Cui
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
bioinformatics;
cloud computing;
ontologies (artificial intelligence);
Hadoop local cloud;
MaPLE;
MapReduce pipeline for lattice-based evaluation;
SNOMED CT;
biomedical Big Data;
nonlattice fragment extraction;
ontological systems;
Algorithm design and analysis;
Context;
Lattices;
Ontologies;
Pipelines;
Quality assurance;
Upper bound;
43.
SE-CDA: A scalable and efficient community detection algorithm
机译:
SE-CDA:一种可扩展且高效的社区检测算法
作者:
Lunagariya Dhaval C.
;
Somayajulu D.V.L.N.
;
Krishna P. Radha
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data handling;
parallel algorithms;
Giraph computing platforms;
Girvan-Newman algorithm;
MapReduce;
SE-CDA;
approximation algorithm;
modularity based hierarchical community detection algorithm;
parallel algorithm;
scalable and efficient community detection algorithm;
Algorithm design and analysis;
Approximation algorithms;
Approximation methods;
Clustering algorithms;
Communities;
Computational modeling;
Image edge detection;
Community Detection;
Giraph;
MapReduce;
44.
Multiway Analysis of bridge structural types in the National Bridge Inventory (NBI): A tensor decomposition approach
机译:
国家桥梁清单(NBI)中桥梁结构类型的多向分析:张量分解法
作者:
Adarkwa Offei
;
Schumacher Ton
;
Attoh-Okine Nii
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
bridges (structures);
data analysis;
structural engineering computing;
tensors;
NBI;
bridge structural types;
data changes;
data trends;
multiway data analysis approach;
national bridge inventory;
statistical tools;
structural deficiency rate analysis;
tensor decomposition;
two-dimensional data view;
Bridges;
Data analysis;
Loading;
Market research;
Slabs;
Structural beams;
Tensile stress;
Bridges;
Data Analysis;
Multiway Data;
Tensors;
45.
A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments
机译:
古希腊纸莎草纸片段众包转录的计算管道
作者:
Williams Alex C.
;
Wallin John F.
;
Haoyu Yu
;
Perale Marco
;
Carroll Hyrum D.
;
Lamblin Anne-Francoise
;
Fortson Lucy
;
Obbink Dirk
;
Lintott Chris J.
;
Brusuelas James H.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
history;
user interfaces;
Ancient Lives database;
Ancient Lives interface;
Ancient Lives project;
Oxyrhynchus;
University of Oxford;
ancient Greek papyrus fragments;
citizen science;
computational pipeline;
crowdsourced letter identifications;
crowdsourced transcriptions;
identification process;
naturally deteriorated papyri;
volunteer users;
Accuracy;
Databases;
Digital images;
Educational institutions;
Kernel;
Pipeline processing;
Pipelines;
big data;
crowdsourcing;
human computation;
papyrus transcription;
46.
Towards building and evaluating a personalized location-based recommender system
机译:
致力于构建和评估基于位置的个性化推荐系统
作者:
Rubing Duan
;
Goh Rick Siow Mong
;
Feng Yang
;
Yong Kiam Tan
;
Valenzuela Jesus F. B.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
collaborative filtering;
gradient methods;
least mean squares methods;
recommender systems;
regression analysis;
singular value decomposition;
stochastic processes;
support vector machines;
SGD;
SVD;
SVR;
Yelp dataset;
collaborative filtering algorithms;
hybrid recommendation model;
location-based service;
personalized location-based recommender system;
predictive feature-based regression model;
root mean square error;
singular value decomposition;
stochastic gradient descent;
support vector regression;
Business;
Cities and towns;
Collaboration;
Prediction algorithms;
Predictive models;
Recommender systems;
Training;
47.
On the performance of MapReduce: A stochastic approach
机译:
关于MapReduce的性能:一种随机方法
作者:
Ahmed Syed Thouheed
;
Loguinov Dmitri
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
parallel processing;
shared memory systems;
sorting;
stochastic processes;
Big Data;
MapReduce performance;
analytic models;
disk I/O;
external sort;
hardware configuration;
high-performance MapReduce implementation;
large-scale information processing;
programming paradigm;
resource usage;
run-time;
shared-memory MapReduce computations;
stochastic approach;
trace-driven simulations;
workload properties;
Analytical models;
Arrays;
Computational modeling;
Merging;
Programming;
Random access memory;
Sorting;
Big Data;
Disk I/O;
External Sort;
MapReduce;
48.
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems
机译:
PGMHD:用于大规模分层数据问题的可扩展概率图形模型
作者:
AlJadda Khalifeh
;
Korayem Mohammed
;
Ortiz Camilo
;
Grainger Trey
;
Miller John /A/.
;
York William S.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Bayes methods;
Big Data;
data mining;
trees (mathematics);
Bayesian networks;
Big Data;
PGMHD;
bioinformatics;
data insight discovery;
data insight mining;
latent semantic discovery;
massive hierarchical data problems;
probabilistic graphical models;
probability distributions;
scalable probabilistic graphical model;
treelike structure;
Bayes methods;
Data models;
Graphical models;
Probabilistic logic;
Probability distribution;
Random variables;
Semantics;
49.
A cross-job framework for MapReduce scheduling
机译:
MapReduce调度的跨工作框架
作者:
Xuejie Xiao
;
Jian Tang
;
Zhenhua Chen
;
Jielong Xu
;
Chonggang Wang
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data handling;
distributed processing;
scheduling;
Apache Pig application;
MapReduce runtime system;
MapReduce scheduling;
PageRank;
cross-job Hadoop;
cross-job framework;
data locality;
data parallelism;
job sequence;
streaming data;
Approximation algorithms;
Estimation;
Processor scheduling;
Program processors;
Schedules;
Scheduling;
Big Data;
MapReduce;
Resource Management;
Task Scheduling;
50.
In unity there is strength: Showcasing a unified big data platform with MapReduce Over both object and file storage
机译:
团结一致,就有力量:通过MapReduce在对象和文件存储上展示统一的大数据平台
作者:
Rui Zhang
;
Hildebrand Dean
;
Tewari Renu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
parallel programming;
public domain software;
social networking (online);
Apache Hadoop MapReduce;
GPFS IBM cluster file system;
OpenStack open-source object store;
Swift;
Twitter data;
cross-store data access;
data analytics;
data applications;
data capacity savings;
data migration overhead elimination;
data sources;
enterprise support;
file-based data stores;
heterogeneous storage;
object-based data stores;
platform configuration;
reliability analysis;
sentiment analysis application;
unified Big Data platform;
Big data;
Portfolios;
Protocols;
Prototypes;
Reliability;
Sentiment analysis;
Twitter;
51.
A visualized data analysis for bogus business entity detection
机译:
用于伪造业务实体检测的可视化数据分析
作者:
Cheng Hao-Chien
;
Yi-Chuan Lu
;
Chih-Cheng Hsu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data analysis;
data visualisation;
government data processing;
taxation;
Fiscal Information Agency;
bogus business entity detection;
government;
potential tax evasion detection;
tax evasion behavior analysis;
tax evasion pattern recognition;
visualized data analysis process;
Data analysis;
Data mining;
Data visualization;
Economics;
Finance;
Government;
bogus business entity;
data visualization;
pattern recognition;
tax evasion;
52.
A CCG virtual system for big data application communication costs analysis
机译:
用于大数据应用程序通信成本分析的CCG虚拟系统
作者:
Yongen Yu
;
Hongbo Zou
;
Wei Tang
;
Liwei Liu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
cloud computing;
data analysis;
grid computing;
software defined networking;
telecommunication congestion control;
telecommunication network routing;
telecommunication network topology;
virtual machines;
virtualisation;
workstation clusters;
Big Data application communication cost analysis;
CCG virtual system;
SDN;
cluster cloud and grid computing;
container-based virtualization;
network routing;
network topology;
network traffic control;
software-defined networking;
virtual machines;
Big data;
Control systems;
IP networks;
Network topology;
Routing;
Topology;
Virtual machining;
CCG Virtual System;
SDN;
network topology;
routing;
virtualization;
53.
Predicting flight arrival times with a multistage model
机译:
使用多阶段模型预测航班到达时间
作者:
Takacs Gabor
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
air traffic;
data analysis;
learning (artificial intelligence);
regression analysis;
traffic engineering computing;
airlines;
flight arrival times prediction;
gradient boosting machines;
multistage model;
real-time big data analysis;
ridge regressions;
Airports;
Atmospheric modeling;
Delays;
Logic gates;
Meteorology;
Predictive models;
Training;
GE Flight Quest;
gradient boosting machine;
parallelization;
ridge regression;
54.
On the coverage of science in the media: A big data study on the impact of the Fukushima disaster
机译:
关于媒体的科学报道:福岛灾难影响的大数据研究
作者:
Lansdall-Welfare Thomas
;
Sudhahar Saatviga
;
Veltri Giuseppe /A/.
;
Cristianini Nello
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data analysis;
data mining;
information analysis;
Big Data;
English-language online-news content;
Fukushima disaster;
association networks;
corpus analysis;
energy supply needs;
narrative networks;
nuclear power coverage;
science coverage;
sentiment time series;
social scientific research;
Association rules;
Big data;
Cancer;
Diseases;
Educational institutions;
Media;
Time series analysis;
Computational linguistics;
Data analysis;
Knowledge discovery;
Text mining;
55.
A layer based architecture for provenance in big data
机译:
用于大数据来源的基于层的体系结构
作者:
Agrawal Rajeev
;
Imran Ali
;
Seay Cameron
;
Walker Julian
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data visualisation;
software architecture;
Big Data;
auditing;
data analysis;
data origin;
data processing;
data provenance;
data trust;
data visualization;
debugging;
government databases;
healthcare databases;
layer based architecture;
performance measurement;
social media;
system information;
Big data;
Computer architecture;
Data models;
Data visualization;
Databases;
Educational institutions;
Security;
Big data;
Provenance;
Query;
Visualization;
56.
A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets
机译:
大规模不平衡数据集的分布式实例加权SVM算法
作者:
Xiaoguang Wang
;
Xuan Liu
;
Matwin S.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
computational complexity;
data mining;
learning (artificial intelligence);
parallel algorithms;
support vector machines;
Big Data class imbalance problem;
MapReduce framework;
benchmark datasets;
big datasets;
class imbalanced data;
computing nodes;
data mining techniques;
data processing;
distributed instance-weighted SVM algorithm;
instance-weighted SVM optimization;
knowledge extraction;
large-scale imbalanced datasets;
parallel meta-learning algorithm;
support vector machine;
symmetric weight boosting method;
training computational complexity reduction;
Algorithm design and analysis;
Big data;
Classification algorithms;
Optimization;
Support vector machines;
Training;
Training data;
Class imbalance problem;
Hadoop;
MapReduce;
SVMs;
57.
Applications of linked data in the rail domain
机译:
链接数据在铁路领域的应用
作者:
Morris Christopher
;
Easton John
;
Roberts Clive
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data integration;
ontologies (artificial intelligence);
rail traffic;
traffic engineering computing;
British rail domain;
data integration;
linked data;
ontology;
transport domain;
Industries;
Maintenance engineering;
Ontologies;
Rail transportation;
Rails;
Vehicles;
Vocabulary;
Linked Data;
Ontology;
Railway data;
Semantic Data;
58.
Evolution of scientific collaboration networks
机译:
科学合作网络的演变
作者:
Madaan Gaurav
;
Jolad Shivakumar
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
graph theory;
groupware;
information analysis;
pattern clustering;
scientific information systems;
social networking (online);
DBLP computer science bibliographic database;
DPL;
Gini coefficient;
Lorenz curve;
Lotka law on frequency;
WPL;
bibliometrics;
clustering coefficient;
collaboration graph;
densification power law;
graph properties;
power law pattern;
scientific collaboration network evolution;
scientific collaboration network structure;
social network analysis techniques;
vertices;
weight power law;
Bipartite graph;
Collaboration;
Computer science;
Databases;
Market research;
Physics;
Social network services;
bibiliometrics;
collaboration networks;
network structure;
power laws;
research collaboration;
scale free networks;
59.
Towards scalable graph computation on mobile devices
机译:
在移动设备上实现可伸缩的图形计算
作者:
Yiqi Chen
;
Zhiyuan Lin
;
Pienta Robert
;
Minsuk Kahng
;
Duen Horng Chau
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Android (operating system);
graph theory;
iOS (operating system);
mobile computing;
mobile handsets;
touch sensitive screens;
Android platforms;
Macbook Pro;
computational power;
iOS app;
iPad mini;
memory mapping capability;
mobile devices;
mobile operating systems;
multitouch capabilities;
on-device analysis;
scalable graph computation;
Mobile communication;
Mobile handsets;
Motion pictures;
Performance evaluation;
Random access memory;
Runtime;
Tablet computers;
graph mining;
memory mapping;
mobile device;
scalable algorithms;
60.
Applying instance-weighted support vector machines to class imbalanced datasets
机译:
将实例加权支持向量机应用于不平衡数据集
作者:
Xiaoguang Wang
;
Xuan Liu
;
Matwin S.
;
Japkowicz Nathalie
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data handling;
learning (artificial intelligence);
support vector machines;
asymmetric boosting method;
class imbalanced datasets;
class imbalanced problem;
instance-weighted SVM;
instance-weighted support vector machines;
machine learning algorithms;
Boosting;
Equations;
Optimization;
Prediction algorithms;
Support vector machines;
Training;
Vectors;
61.
Secure data storage in distributed cloud environments
机译:
分布式云环境中的安全数据存储
作者:
Jordao Renata
;
Aymore Martins Valerio
;
Buiati Fabio
;
De Sousa Rafael T.
;
de Deus Flavio Elias
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
cloud computing;
cryptography;
security of data;
storage management;
Encrypted BigQuery system;
Google;
data confidentiality;
data encryption;
data storage security;
distributed cloud environment;
distributed system;
massive data processing;
nonrelational database;
sensitive data discovery;
Data models;
Databases;
Encryption;
Google;
Probabilistic logic;
Servers;
Encrypted BigQuery;
NoSQL;
big data;
cloud;
confidenciality;
62.
TIDE: Inter-chromosomal translocation and insertion detection using embeddings
机译:
潮汐:利用嵌入进行染色体间易位和插入检测
作者:
Vetro Rosarme
;
Farhoodi Roshanak
;
Kotla Rohith
;
Haspel Nurit
;
Weisman David
;
Rosen Jacob
;
Simovici Dan
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
cancer;
cellular biophysics;
genomics;
medical computing;
NGS platforms;
PAX8-PPARγ rearrangement;
SV;
TIDE;
approximate nearest neighbor problem;
breakpoint detection;
breakpoint-spanning reads;
chromosomes;
discordant read pairs;
diseases;
distance-preserving embedding algorithm;
fingerprints;
genome;
genomic mutations;
insertion breakpoints;
insertion detection;
inter-chromosomal translocation;
k-mers indexes;
next-generation sequencing;
paired-end sequencing data;
reads identification;
sequencing process;
structural variations;
thyroid cancer;
Bioinformatics;
Biological cells;
Cancer;
Genomics;
Indexes;
Sequential analysis;
Tides;
Insertion;
Locality sensitive hashing (LSH);
Next-generation sequencing (NGS);
Structural variations (SVs);
Translocation;
63.
Scalable solar image Retrieval with Lucene
机译:
使用Lucene进行可伸缩的太阳能图像检索
作者:
Banda Juan M.
;
Angryk Rafal /A/.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Sun;
astronomical image processing;
content-based retrieval;
image retrieval;
search engines;
Lucene;
content-based image retrieval;
image feature vectors;
image repositories;
search engines;
solar image retrieval;
Big data;
Buildings;
Feature extraction;
Filtering;
Image retrieval;
Indexes;
Servers;
Astroinformatics;
Big Data Mining;
Content-Based Image Retrieval;
Image Processing;
Image Retrieval;
64.
An open schema for XML data in Hive
机译:
Hive中XML数据的开放模式
作者:
Wuheng Luo
;
Bo Liu
;
Watfa Allie K.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
XML;
data mining;
data warehouses;
parallel processing;
Big Data;
Hadoop;
OLAP-focused XML data warehouse;
XML data placement;
XML format;
column-oriented XML data warehouse;
data access;
data maintenance;
data scalability;
distributed data systems;
heterogeneous content;
open Hive schema approach;
Availability;
Big data;
Books;
Companies;
Data models;
Distributed databases;
XML;
Hadoop;
Hive;
XML;
column-oriented;
open schema;
schema-less;
65.
Topic-specific post identification in microblog streams
机译:
微博流中特定主题的帖子识别
作者:
Karunasekera Shanika
;
Harwood Aaron
;
Samarawickrama Sameendra
;
Ramamohanarao Kotagiri
;
Robins Garry
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
document handling;
query processing;
social networking (online);
AIG;
Twitter;
adjusted information gain;
inverse document frequency;
keyword based tracking capability;
keyword frequency;
microblog discussion;
microblog posts;
microblog streams;
off-topic posts;
query expansion techniques;
query terms;
term-scoring expression;
term-scoring expressions;
topic specific query words;
topic-specific post identification;
unsupervised manner;
Australia;
Broadband communication;
Context;
Twitter;
Vectors;
Vocabulary;
document;
keyword;
microblog;
query;
term;
topic;
66.
Handling smart environment devices, data and services at the semantic level with the FI-WARE core platform
机译:
使用FI-WARE核心平台在语义级别处理智能环境设备,数据和服务
作者:
Ramparany Fano
;
Galan Marquez Fermin
;
Soriano Javier
;
Elsaleh Tarek
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Internet of Things;
semantic Web;
FI-WARE core platform;
Internet of Things;
IoT;
semantic level;
semantic modeling;
smart environment device;
Cities and towns;
Context;
Data integration;
Mashups;
Ontologies;
Resource description framework;
Semantics;
67.
Some examples of big data in railroad engineering
机译:
铁路工程中的大数据的一些例子
作者:
Zarembski Allan M.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data acquisition;
railways;
storage management;
Big Data;
US railroad industry;
capital infrastructure;
car locations;
data collection;
data storage;
data use;
goods shipments tracking;
infrastructure inspection;
infrastructure intensive industry;
infrastructure maintenance;
inspection vehicle;
maintenance management software systems;
railroad activities;
railroad engineering;
railroad track;
train crews management;
Big data;
Geometry;
Industries;
Inspection;
Maintenance engineering;
Rails;
Vehicles;
Railroad;
maintenance planning;
rail inspection;
track;
track geometry;
68.
Revolutionary entities: Turning data into knowledge to drive personalized exploration of The irish rising of 1916
机译:
革命性的实体:将数据转化为知识,以推动个性化探索1916年爱尔兰崛起
作者:
Conlan Owen
;
OConnor Alexander
;
Loinsigh Orla Ni
;
Munnelly Gary
;
Lawless Seamus
;
Murphy R.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
history;
Big Data;
Irish rising;
entity extraction;
high-quality knowledge systems;
humanities;
personalized knowledge-driven exploration;
revolutionary entities;
Big data;
Communities;
Cultural differences;
Global communication;
History;
Materials;
Transducers;
Entity Extraction;
Historical Corpora;
Personalized Exploration;
69.
WS2F: A weakly supervised framework for data stream filtering
机译:
WS 2 sup> F:数据流过滤的弱监督框架
作者:
Cailing Dong
;
Agarwal Abhishek
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
social networking (online);
TREC;
WS2F;
data stream filtering;
social media platforms;
weakly supervised framework;
Correlation;
Media;
Reliability;
Silicon;
Testing;
Training data;
Twitter;
70.
FS3: A sampling based method for top-k frequent subgraph mining
机译:
FS 3 sup>:一种基于采样的top-k频繁子图挖掘方法
作者:
Saha Tapan K.
;
Al Hasan Mohammad
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Markov processes;
Monte Carlo methods;
data mining;
graph theory;
queueing theory;
sampling methods;
FS3;
MCMC;
Markov chain Monte Carlo sampling;
data mining;
finite queue;
fixed-size subgraphs;
innovative queue manager;
labeled subgraph mining;
probabilistic sense;
sampling based method;
scientific domains;
subgraph isomorphism task;
top-k frequent subgraph mining;
Data mining;
Databases;
Markov processes;
Proposals;
Scalability;
Silicon;
Software;
71.
A clustering based scalable hybrid approach for web page recommendation
机译:
用于网页推荐的基于聚类的可伸缩混合方法
作者:
Sharif Mohammad Amir
;
Raghavan Vijay V.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Web sites;
information filtering;
pattern clustering;
recommender systems;
Web page recommendation;
Yahoo! Front Page;
aggregated recommendations;
clustering based scalable hybrid approach;
co-occurrence information;
content based clusters;
content based filtering;
content information;
e-commerce sites;
hybrid recommendation system;
implicit feedback;
items clustering;
items distribution;
parametric form;
recommender systems;
today module user click log dataset;
user preference information;
Clustering algorithms;
Collaboration;
Recommender systems;
Scalability;
Tuning;
Vectors;
clustering;
collaborative and contentbased filtering;
hybrid recommender;
scalability;
sparsity;
user-oriented;
72.
A multi-view two-level classification method for generalized multi-instance problems
机译:
广义多实例问题的多视图两级分类方法
作者:
Xiaoguang Wang
;
Xuan Liu
;
Matwin S.
;
Japkowicz Nathalie
;
Hongyu Guo
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
generalisation (artificial intelligence);
pattern classification;
unsupervised learning;
MI learning;
MI learning methods;
generalized multi-instance problems;
information integration;
multi-instance learning;
multiview learning approach;
multiview single meta-instance dataset;
multiview two-level classification method;
propositional classification;
supervised learning;
unsupervised learning;
Clustering algorithms;
Decision trees;
Kernel;
Prediction algorithms;
Standards;
Supervised learning;
Unsupervised learning;
73.
A partitioning approach to scaling anomaly detection in graph streams
机译:
图流中缩放异常检测的一种分区方法
作者:
Eberle William
;
Holder Lawrence
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
data structures;
graph theory;
learning (artificial intelligence);
pattern classification;
security of data;
PLADS approach;
anomaly detection scaling;
computer network traffic;
data representation;
e-commerce traffic representation;
electronic commerce;
graph stream;
heterogeneous data set;
information stream;
normative pattern;
partitioning approach;
pattern learning and anomaly detection on streams;
windowing approach;
Big data;
Computers;
Image edge detection;
Internet;
Scalability;
Telecommunication traffic;
Graph-based;
anomaly detection;
knowledge discovery;
streaming data;
74.
Global graphs: A middleware for large scale graph processing
机译:
全局图:用于大规模图处理的中间件
作者:
Faisal S.M.
;
Parthasarathy Srinivasan
;
Sadayappan P.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Markov processes;
data structures;
distributed shared memory systems;
graphs;
middleware;
pattern clustering;
Global Graphs;
data structures;
distributed memory middleware;
distributed memory programming;
large scale graph processing;
regularized Markov clustering;
shared memory programming;
Arrays;
Clustering algorithms;
Markov processes;
Middleware;
Programming;
Scalability;
Clustering;
Graphs;
High Performance Graph Processing;
75.
Change detection in temporally evolving computer networks: A big data framework
机译:
随时间变化的计算机网络中的变化检测:大数据框架
作者:
Namayanja Josephine M.
;
Janeja Vandana P.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
computer networks;
distributed processing;
CoIn;
MapReduce;
TPC;
big data framework;
big data processing techniques;
computer networks;
consistency-and-inconsistency;
cyber attacks;
distributed processing techniques;
internet traffic trace data;
network failures;
time period-of-change;
Big data;
Internet;
Monitoring;
Standards;
Telecommunication traffic;
Tin;
big data;
central nodes;
change detection;
temporal evolution;
76.
Predicting a biological response of molecules from their chemical properties using diverse and optimized ensembles of stochastic gradient boosting machine
机译:
使用多样且优化的随机梯度增强机集成,从分子的化学性质预测分子的生物学响应
作者:
Abdunabi Tarek
;
Basir Otman
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
feature selection;
feedforward neural nets;
learning (artificial intelligence);
pharmaceutical industry;
GBMs;
biological activity prediction;
biological response prediction;
chemical properties;
compound synthesis;
drug development;
ensemble learning techniques;
feature reduction;
feature selection;
feedforward neural network;
fusion techniques;
gradient boosting machines;
majority vote;
molecules;
pharmaceutical industry;
stochastic gradient boosting machine;
Accuracy;
Boosting;
Brain modeling;
Buildings;
Predictive models;
Principal component analysis;
Tuning;
77.
A general supervised approach to segmentation of clinical texts
机译:
临床文本分割的一般监督方法
作者:
Ganesan Kavita
;
Subotin Michael
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
electronic health records;
pattern classification;
EMR data;
clinical text segmentation;
electronic medical record data;
medical coding;
unseen documents;
Accuracy;
Colon;
Discharges (electric);
History;
Radiology;
Testing;
Training;
78.
A big data aggregation, analysis and exploitation integrated platform for increasing social management intelligence
机译:
大数据聚合,分析和开发集成平台,可提高社会管理智能
作者:
Sand Greg
;
Tsitouras Leonidas
;
Dimitrakopoulos G.
;
Chatzigiannakis Vassilis
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
data analysis;
marketing data processing;
social networking (online);
Big Data aggregation;
Big Data analysis;
Big Data exploitation;
GiF;
GlobaliFusion;
social management intelligence;
social media management;
social media marketing;
Acceleration;
Big data;
Companies;
Facebook;
Media;
Twitter;
Augmented Reality (AR);
Big Data;
Business to Consumer (B2C);
Business-to-Business (B2B);
Capital Expenditure (CAPEX);
Datafication;
Datified;
Freedom to Operate (FTO);
GlobaliFusion (GiF);
Information and Communication Technologies (ICT);
Kinect;
Operational Expenses (OPEX);
Opinion Mining (also known as Sentiment Classification);
Return on Investment (ROI);
79.
Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza
机译:
了解公共卫生危机期间医学专家的作用数字工具和图书馆资源用于1918年西班牙流感的研究
作者:
Ewing E. Thomas
;
Gad Samah
;
Ramakrishnan N.
;
Reznick Jeffrey S.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
digital libraries;
health care;
medical information systems;
Spanish flu epidemic;
Spanish influenza;
digitized library collections;
digitized newspapers;
humanities scholars;
library resources;
medical experts;
medical periodicals;
public health crisis digital tools;
public health official;
topic modeling;
Cities and towns;
Diseases;
History;
Influenza;
Libraries;
Public healthcare;
Tag clouds;
Data Mining;
Disease;
History;
Public Health;
Topic Modeling;
80.
BigExcel: A web-based framework for exploring big data in social sciences
机译:
BigExcel:基于网络的框架,用于探索社会科学中的大数据
作者:
Saleem Muhammed Asif
;
Varghese Binni
;
Barker Adam
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
Internet;
social sciences computing;
Big Data;
BigExcel framework;
Yahoo Buzz Score data set;
Yahoo Sandbox datasets;
Yahoo n-gram corpus;
ad hoc exploration;
infrastructure management;
noncomputer science related disciplines;
social sciences;
source code;
three tier Web-based framework;
trending technology prediction;
user interaction management;
Big data;
Browsers;
Correlation;
Electronic publishing;
Games;
Market research;
Real-time systems;
Big data;
Hadoop;
Hive;
Real-time processing;
Web-based querying;
81.
A model architecture for Big Data applications using relational databases
机译:
使用关系数据库的大数据应用程序的模型架构
作者:
Durham Erin-Elizabeth /A/.
;
Rosen Arye
;
Harrison Robert W.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
SQL;
query processing;
relational databases;
software architecture;
Big Data applications;
MySQL;
data analytics;
data handling;
database management systems;
decision requests;
decisioned result retrieval time;
model architecture;
optimal user satisfaction;
querying;
response wait times;
standard relational SQL database;
stored large datasets;
Big data;
Companies;
Databases;
Modems;
Software;
Standards;
Big Data analysis;
Business Intelligence;
Data Mining;
Relational database;
SQL;
materialized view;
query;
query optimization;
82.
HBGSim: A structural similarity measurement over heterogeneous big graphs
机译:
HBGSim:异构大图上的结构相似性度量
作者:
Jiazhen Nian
;
Shan Jiang
;
Yan Zhang
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data structures;
graph theory;
pattern matching;
DBLP dataset;
HBGSim;
heterogeneous big graphs;
heterogeneous structured data;
structural similarity measurement;
Avatars;
Data mining;
Feature extraction;
Nonhomogeneous media;
Partitioning algorithms;
Semantics;
Vectors;
Heterogeneous graph;
Heterogeneous neighbors;
Structural similarity measurement;
83.
Crowdsourced query augmentation through semantic discovery of domain-specific jargon
机译:
通过特定领域术语的语义发现来进行众包查询增强
作者:
AlJadda Khalifeh
;
Korayem Mohammed
;
Grainger Trey
;
Russell Craig
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
ontologies (artificial intelligence);
pattern clustering;
query processing;
clustering technique;
crowdsourced query augmentation;
dimensionality reduction technique;
domain-specific jargon;
language-specific ontology;
language-specific taxonomy;
latent semantic relationship discovery;
semantic discovery;
user query;
user search log mining;
Java;
Natural language processing;
Noise;
Search engines;
Search problems;
Semantics;
Software;
84.
Increasing the veracity of event detection on social media networks through user trust modeling
机译:
通过用户信任建模提高社交媒体网络上事件检测的准确性
作者:
Bodnar Todd
;
Tucker C.
;
Hopkinson Kenneth
;
Bilen Sven G.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
data mining;
information dissemination;
learning (artificial intelligence);
meta data;
natural language processing;
social networking (online);
Facebook;
Twitter;
digital communication platforms;
information communication;
information dissemination;
information exchange;
information spread;
information veracity assessment model;
large-scale social media networks;
machine learning algorithms;
metadata;
misinformation communication;
misinformation spread;
multiple geographic region spanning;
natural language processing;
real-world event detection;
textual content mining;
threat scenarios;
time frames;
user trust modeling;
Accuracy;
Educational institutions;
Explosions;
Measurement;
Media;
Twitter;
85.
Random projection based clustering for population genomics
机译:
基于随机投影的群体基因组聚类
作者:
Tasoulis Sotiris
;
Lu Cheng
;
Valimaki Niko
;
Croucher Nicholas J.
;
Harris Simon R.
;
Hanage William P.
;
Roos Teemu
;
Corander Jukka
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
genomics;
medical computing;
microorganisms;
parallel processing;
pattern clustering;
Bayesian model-based analysis;
alignment-free sequence analysis techniques;
bacterial sequence data;
big data techniques;
data revolution;
parallel computing;
population genomics;
ultra high-dimensional data;
Bioinformatics;
Clustering algorithms;
Genomics;
Microorganisms;
Partitioning algorithms;
Sociology;
Statistics;
Clustering;
High Dimensionality;
Population Genomics;
Random Projection;
86.
Identifying top Chinese network buzzwords from social media big data set based on time-distribution features
机译:
基于时间分布特征从社交媒体大数据集中识别中文网络流行词
作者:
Yongli Tang
;
Tingting He
;
Bo Li
;
Xiaohua Hu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
social networking (online);
text analysis;
Internet culture;
KL-divergence measure;
buzzword usage;
language evolution study;
language usage;
public opinion analysis;
social focus tracking;
social media Big Data set;
standard method;
subjective opinions;
time-distribution feature;
time-distribution features;
time-distribution word feature;
top-Chinese network buzzword Identification;
word popularity estimation;
Data models;
Educational institutions;
Information retrieval;
Internet;
Mathematical model;
Probability distribution;
Smoothing methods;
KL divergence;
buzzword;
language model;
time-distribution;
87.
An initial study of predictive machine learning analytics on large volumes of historical data for power system applications
机译:
预测机器学习分析对电力系统应用的大量历史数据的初步研究
作者:
Jiang Zheng
;
Dagnino Aldo
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
knowledge acquisition;
learning (artificial intelligence);
power systems;
Big Data;
MapReduce paradigm;
data processing;
forecasting substations fault events;
historical data;
industrial data;
intelligent machine learning tools;
machine learning algorithm;
power load;
power system applications;
power systems;
predictive knowledge extraction;
predictive machine learning analytics;
very large data volumes;
Analytical models;
Big data;
Data models;
Distributed databases;
Libraries;
Machine learning algorithms;
Sparks;
Apache Spark;
Big Data;
Hadoop;
machine learning;
88.
Stochastic Finite Automata for the translation of DNA to protein
机译:
随机有限自动机,用于将DNA转换为蛋白质
作者:
Tsau-Young Lin
;
Shah Asmi H.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
Turing machines;
biology computing;
finite automata;
granular computing;
learning (artificial intelligence);
proteins;
stochastic automata;
ALERGIA algorithm;
DNA sequence partial representations;
DNA translation;
Kolmogorov complexity theory;
SFA;
Turing machines;
amino acid chemical property;
light granular computing;
protein;
stochastic finite automata;
tree of life;
Amino acids;
Approximation methods;
DNA;
Merging;
Proteins;
Turing machines;
DNA;
bigdata;
machine learning;
pattern;
proteins;
stochastic finite automata;
89.
Evaluating structural engineering finite element analysis data using multiway analysis
机译:
使用多向分析评估结构工程有限元分析数据
作者:
Radovic Matija
;
McConnell Jennifer
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
beams (structures);
bridges (structures);
finite element analysis;
structural engineering computing;
supports;
tensors;
FEA data;
cross frames;
girders;
highway bridge structural components;
multiway analysis;
stress distribution;
structural engineering finite element analysis data evaluation;
tensor decomposition;
Bridges;
Finite element analysis;
Flanges;
Loading;
Structural beams;
Tensile stress;
Multiway analysis;
Tucker3 model;
bridge engineering;
finite element analysis;
structural engineering;
90.
The OceanLink project
机译:
OceanLink项目
作者:
Narock Tom
;
Krisnadhi Adila
;
Hitzler Pascal
;
Cheatham Michelle
;
Arko Robert
;
Carbotte Suzanne
;
Shepherd Adam
;
Chandler Cynthia
;
Raymond Luke
;
Wiebe Peter
;
Finin Tim
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
computer centres;
data mining;
geophysics computing;
scientific information systems;
semantic Web;
OceanLink project;
Web mining;
crowdsourcing;
data centers;
digital repositories;
ocean sciences;
online platform;
professional societies;
published articles;
research contribution;
scholarly achievements;
scientific investigations;
semantic Web technologies;
Communities;
Conferences;
Oceans;
Ontologies;
Portals;
Semantic Web;
Semantics;
Big Data;
Ontology Design Patterns;
Semantic Web;
ocean science;
91.
Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service
机译:
用于机器学习模型的个性化的可扩展大数据计算及其在自动语音识别服务中的应用
作者:
Ahnn Jong Hoon
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
learning (artificial intelligence);
parallel processing;
speech recognition;
Big Data computing;
Big Data infrastructure;
Hadoop 1 cluster;
Hadoop 2 cluster;
Samsung product users;
automatic speech recognition service;
best file system selection;
computation cost;
context-aware service;
data storage design;
distributed file systems;
face recognition;
file compression;
in-house object storage;
language model;
machine learned models;
model-based services;
performance optimization strategies;
personalized ASR system;
personalized acoustic model;
personalized model creation;
quality of service;
scalable ASR system;
speaker adaptation;
voice-enabled Web search;
voice-enabled services;
voice-to-text transcriber;
workflow compaction;
Acoustics;
Adaptation models;
Big data;
Computational modeling;
Memory;
Speech;
Speech recognition;
92.
Computing fuzzy rough approximations in large scale information systems
机译:
大规模信息系统中的模糊粗略近似计算
作者:
Asfoor Hasan
;
Srinivasan Rajagopalan
;
Vasudevan Gayathri
;
Verbiest Nele
;
Cornells Chris
;
Tolentino Matthew
;
Teredesai Ankur
;
De Cock Martine
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
application program interfaces;
fuzzy set theory;
information systems;
learning (artificial intelligence);
mathematics computing;
message passing;
parallel processing;
rough set theory;
MPI;
conditional attributes;
decision attribute;
fuzzy rough approximation;
fuzzy rough set analysis pipeline;
fuzzy rough set theory;
gradual indiscernibility relation;
granular computing paradigm;
inconsistency degrees;
indiscernibility relation;
information systems;
large scale information systems;
lower approximations;
machine learning tool;
memory capacity;
message passing interface;
upper approximations;
Approximation algorithms;
Approximation methods;
Data mining;
Data processing;
Set theory;
Vectors;
93.
Feature selection for text clustering in limited memory using Monte Carlo wrapper
机译:
使用Monte Carlo包装器在有限内存中选择文本聚类的功能
作者:
Deolalikar Vinay
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Monte Carlo methods;
feature selection;
pattern clustering;
text analysis;
MC;
Monte Carlo wrapper;
feature selection;
text clustering;
Approximation algorithms;
Approximation methods;
Benchmark testing;
Clustering algorithms;
Entropy;
Feature extraction;
Monte Carlo methods;
94.
Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds
机译:
高维大数据云计算加权投影分位数和数据深度的快速算法
作者:
Mukherjee Ujjal Kumar
;
Chatterjee Saptarshi
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
cloud computing;
data analysis;
regression analysis;
big data analytics;
data depth;
high-dimensional large data clouds;
multivariate data;
projection quantile regression algorithm;
weighted projection quantiles;
Accelerometers;
Big data;
Estimation;
Monitoring;
Real-time systems;
Shape;
Vectors;
‘Big Data’;
body area network;
data depth estimation;
quantile regression;
real time analysis;
real time health monitoring;
weighted projection quantiles;
95.
Pairwise Topic Model via relation extraction
机译:
通过关系提取的成对主题模型
作者:
Xiaoli Song
;
Yue Shang
;
Yuan Ling
;
Mengwen Liu
;
Xiaohua Hu
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
text analysis;
LDA;
PTM;
documents modeling;
entity pairs extraction;
latent Dirichlet allocation;
latent topics;
pairwise relationship;
pairwise topic model;
phrases;
raw text relation tuple;
relation extraction;
semantic relationship;
sentences;
structured language model;
text units;
words;
Data mining;
Data models;
Data structures;
Educational institutions;
Hidden Markov models;
Joints;
Syntactics;
Pairwise Topic Modeling;
Relation Extraction;
Structured Data;
96.
Multiresolution analysis of incomplete rankings with applications to prediction
机译:
不完整排名的多分辨率分析及其在预测中的应用
作者:
Sibony Eric
;
Clemencon Stephan
;
Jakubowicz Jeremie
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Big Data;
learning (artificial intelligence);
Big Data modern applications;
Euclidean space;
algebraic topology;
cardinal scores;
data representing preferences;
implicit feedback data;
incomplete rankings;
machine learning;
ordinal preferences;
preference data;
real datasets;
recommender systems;
search engines;
wavelet multiresolution analysis;
Equations;
Estimation;
Mathematical model;
Multiresolution analysis;
Probability distribution;
Ranking (statistics);
Tin;
incomplete rankings;
multiresolution analysis;
preference data;
97.
Connecting the dots: Triangle completion and related problems on large data sets using GPUs
机译:
连接点:使用GPU在大型数据集上的三角形补全和相关问题
作者:
Chatterjee Avhishek
;
Radhakrishnan S.
;
Sekharan Chandra N.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
Internet;
computer graphics;
graphics processing units;
CUDA;
Nvidia;
OSN;
compute unified device architecture;
general-purpose problems;
graph data;
heterogeneous CPU-GPU systems;
irregular data dependencies;
large data sets;
multithreaded graphics processing units;
online social networks;
programming model;
triangle completion;
Advertising;
Algorithm design and analysis;
Educational institutions;
Graphics processing units;
Joining processes;
Social network services;
Testing;
CUDA;
GPU;
Graph problems;
Online Social Networks;
Triangle completion;
98.
Fractional greedy and partial restreaming partitioning: New methods for massive graph partitioning
机译:
分数贪婪和部分流式分割:大规模图分割的新方法
作者:
Echbarthi Ghizlane
;
Kheddouci Hamamache
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
computational complexity;
graph theory;
greedy algorithms;
ReFENNEL;
ReLDG;
computation tasks;
data stream;
fractional Greedy partitioning;
graph restreaming;
heuristics;
hybrid streaming model;
large-distributed graphs;
massive-graph partitioning;
memory cost;
partial-restreaming partitioning;
running time cost;
Adaptation models;
Linear programming;
Load modeling;
NP-hard problem;
Partitioning algorithms;
Runtime;
Silicon;
99.
ParK: An efficient algorithm for k-core decomposition on multicore processors
机译:
ParK:在多核处理器上进行k核分解的高效算法
作者:
Dasari Naga Shailaja
;
Desh Ranjan
;
Zubair Mohammad
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
graph theory;
multiprocessing systems;
parallel algorithms;
ParK;
access pattern;
graph k-core;
k-core decomposition;
multicore processors;
parallel methodology;
socket Nehalem-EX processor;
Algorithm design and analysis;
Arrays;
Multicore processing;
Program processors;
Sockets;
Synchronization;
graph decomposition;
k-core;
multicore;
parallel algorithm;
100.
Extending SPARQL with graph functions
机译:
使用图函数扩展SPARQL
作者:
Mizell David
;
Maschhoff Kristyn J.
;
Reinhardt Steven P.
会议名称:
《IEEE International Congress on Big Data》
|
2014年
关键词:
graph theory;
query processing;
relational databases;
BadRank;
SPARQL 1.1 query capabilities;
SPARQL graph-oriented pattern-matching capabilities;
YarcData Urika customers;
betweenness centrality;
community detection;
customer feedback;
global graph structure;
graph analysis maturation;
graph analytics;
graph functions;
graph vertex;
motif identification;
motif mapping;
shortest-paths;
third-party graph-algorithm;
Algorithm design and analysis;
Arrays;
Communities;
Engines;
Ports (Computers);
Semantics;
Syntactics;
SPARQL;
graph algorithms;
graph analytics;
scalability;
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