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IEEE International Conference on Data Mining Workshops
IEEE International Conference on Data Mining Workshops
召开年:
2014
召开地:
Shenzhen(CN)
出版时间:
-
会议文集:
-
会议论文
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1.
Emotion Recognition from Text Based on Automatically Generated Rules
机译:
基于自动生成规则的文本情感识别
作者:
Shaheen Shadi
;
El-Hajj Wassim
;
Hajj Hazem
;
Elbassuoni Shady
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
emotion recognition;
information retrieval;
natural language processing;
ontologies (artificial intelligence);
pattern classification;
Concept Net ontologies;
ERR;
English sentences;
Internet;
KNN classifier;
PMI classifier;
PMI-IR;
Word Net ontologies;
emotion classification;
emotion recognition rule;
information retrieval;
intermediate emotional data representation;
k-nearest neighbor classifier;
point mutual information classifier;
textual data;
Accuracy;
Brain modeling;
Emotion recognition;
Semantics;
Sensors;
Syntactics;
Training;
Data Mining;
Emotion Recognition from Text;
Natural Language Processing;
2.
Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines
机译:
通过成本敏感的分解机利用项目的受欢迎程度和推荐质量
作者:
Chih-Ming Chen
;
Hsin-Ping Chen
;
Ming-Feng Tsai
;
Yi-Hsuan Yang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
music;
recommender systems;
FM model;
KKBOX;
cost criterion;
instance-level cost-sensitive factorization machine;
item popularity distribution;
long tail;
loss function;
online music streaming service;
popularity weighting functions;
real-world music dataset;
recommendation quality;
recommendation trend accuracy;
Accuracy;
Frequency modulation;
Learning systems;
Music;
Prediction algorithms;
Recommender systems;
Standards;
Long tail;
Recommender System;
3.
A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature
机译:
基于主题模型和多特征融合的标准书目推荐方法
作者:
Fa Shao
;
Yan-Tuan Xian
;
Jian-Yi Guo
;
Zheng-Tao Yu
;
Cun-Li Mao
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
bibliographic systems;
bibliographies;
feature extraction;
pattern clustering;
recommender systems;
LDA topic model;
Top-N algorithm;
implicit topic model;
multifeature fusion;
recommendation algorithm;
semisupervised graph clustering algorithm;
standard bibliography documents;
standard bibliography recommended method;
standard bibliography topic model;
standard library;
user attention model;
vector space model;
Analytical models;
Bibliographies;
Clustering algorithms;
Computational modeling;
Data mining;
Feature extraction;
Standards;
Multi-feature;
Semi-supervised Graph Clustering;
Similarity Calculation;
Standard Recommend;
Topic Model;
4.
Email Analytics for Support Center Performance Analysis
机译:
支持中心性能分析的电子邮件分析
作者:
Ranjan Kunal
;
Dey Lipika
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
customer relationship management;
electronic mail;
social networking (online);
business organization;
customer relationship management;
customer service and support;
customer support center performance analysis;
email analytics;
email-based information exchange;
emails similarity;
formal communication;
lacunae;
loopholes;
problem-specific performance statistics;
social networks;
Algorithm design and analysis;
Cascading style sheets;
Clustering algorithms;
Data mining;
Electronic mail;
Performance analysis;
Postal services;
Email-Analytics;
clustering;
performance analysis;
5.
Ontology-Based Software Requirements Reuse: Case Study in Fire Control Software Product Line Domain
机译:
基于本体的软件需求重用:火控软件产品线领域的案例研究
作者:
Karatas Elif Kamer
;
Iyidir Baris
;
Birturk Aysenur
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
fires;
ontologies (artificial intelligence);
software product lines;
SPL development;
fire control software product line;
ontology-based software requirement reuse;
software artifact;
Knowledge based systems;
Object oriented modeling;
Ontologies;
Semantics;
Software;
Systematics;
Unified modeling language;
Fire Control;
Ontology;
Reuse;
Software Product Line;
Software Requirements;
6.
Integration and Automation of Data Preparation and Data Mining
机译:
数据准备和数据挖掘的集成和自动化
作者:
Narayanan Shrikanth
;
Jaiswal Ayush
;
Yao-Yi Chiang
;
Yanhui Geng
;
Knoblock Craig /A/.
;
Szekely Pedro
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data integration;
data mining;
data preparation;
meta data;
pattern classification;
data mining algorithms;
data mining automation;
data mining tools;
data preparation automation;
data sources;
detailed metadata;
learned classifier;
raw data;
Data mining;
Data models;
Discrete Fourier transforms;
Global Positioning System;
Ontologies;
Semantics;
Sensors;
7.
Quick Mining of Isomorphic Exact Large Patterns from Large Graphs
机译:
从大图快速挖掘同构精确大模式
作者:
Almasri Islam
;
Xin Gao
;
Fedoroff Nina
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
backtracking;
biology computing;
data mining;
graph theory;
search problems;
backtracking algorithm;
biological networks;
biological systems;
isomorphic exact large pattern;
large graph;
minimum remaining value heuristic;
pruning approach;
query graph;
quick mining;
subgraph isomorphism search;
Biological system modeling;
Filtering;
Heuristic algorithms;
Image color analysis;
Proteins;
Scalability;
Graphs;
Isomorphism;
Mining Networks;
Subgraphs;
8.
Fuzzy Sentiment Membership Determining for Sentiment Classification
机译:
情感分类的模糊情感隶属度确定
作者:
Chuanjun Zhao
;
Suge Wang
;
Deyu Li
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
fuzzy set theory;
pattern classification;
support vector machines;
Amazon shopping Web sites;
English review data sets;
fuzzy sentiment membership determining method;
fuzzy support vector machine;
review texts;
sentiment classification;
strong intensity texts;
three-layer sentiment propagation model;
weak intensity texts;
Accuracy;
Analytical models;
Data mining;
Noise measurement;
Semantics;
Support vector machines;
Training;
fuzzy sentiment membership;
fuzzy support vector machine;
sentiment classification;
sentiment propagation;
9.
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors
机译:
利用心理因素对消费者债务建模的数据挖掘框架
作者:
Garibaldi J.
;
Ferguson E.
;
Aickelin U.
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
consumer behaviour;
data mining;
psychology;
consumer debt;
consumer indebtedness;
data mining framework;
data mining technique;
psychological characteristics;
psychological factors;
Analytical models;
Biological system modeling;
Data mining;
Data models;
Economics;
Predictive models;
Psychology;
Consumer Debt Analysis;
Data Mining;
Impulsivity;
Psychological Factors;
10.
Software Process Simulation Based on Mining Software Repositories
机译:
基于挖掘软件仓库的软件过程仿真
作者:
Honsel Verena
;
Honsel Daniel
;
Grabowski Jens
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
decision making;
project management;
software development management;
software maintenance;
software quality;
agent-based simulation;
bug lifetime;
decision making;
developer activity;
development strategies;
development team collaboration;
evolutionary factors;
mining software repositories;
pattern detection;
project management;
project size;
simulation parameters;
software development process;
software process simulation;
software quality;
system growth;
Adaptation models;
Collaboration;
Computer bugs;
Data mining;
Data models;
Open source software;
Agent-Based Simulation;
Mining Software Repositories;
Software Evolution;
11.
Towards Achieving Diagnostic Consensus in Medical Image Interpretation
机译:
争取在医学图像解释中达成诊断共识
作者:
Seidel Mike
;
Rasin Alexander
;
Furst Jacob D.
;
Raicu Daniela S.
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
feature extraction;
image classification;
lung;
medical image processing;
patient diagnosis;
radiology;
automated image analysis;
clinical radiology;
computer-aided diagnostic systems;
diagnostic consensus;
image classification;
image features identification;
lung nodule image dataset;
medical image interpretation;
metric-based case partitioning;
radiologist annotations;
Accuracy;
Decision trees;
Feature extraction;
Lungs;
Medical diagnostic imaging;
Predictive models;
computer-aided diagnosis;
image classification;
resource allocation;
12.
Comparing Classifiers in Historical Census Linkage
机译:
历史普查链接中的分类器比较
作者:
Richards Laura
;
Antonie Luiza
;
Areibi Shawki
;
Grewal Gary
;
Inwood Kris
;
Ross J. Andrew
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
pattern classification;
support vector machines;
classification system;
classifier;
historical census collection;
historical census linkage;
longitudinal data;
multiple census collection;
multiple data collection;
performance evaluation;
record linkage system;
support vector machine;
Couplings;
Databases;
Educational institutions;
Equations;
Joining processes;
Mathematical model;
Support vector machines;
classification;
historical census;
record linkage;
13.
Illumination Invariant Face Recognition with Particle Swarm Optimization
机译:
粒子群算法的光照不变人脸识别
作者:
Yu Cheng
;
Zhigang Jin
;
Cunming Hao
;
Xingsen Li
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
face recognition;
feature selection;
particle swarm optimisation;
visual databases;
PSO-SQI;
Yale face database;
feature selection;
illumination invariant face recognition;
particle swarm optimization;
quotient face image;
Databases;
Face;
Face recognition;
Image recognition;
Lighting;
Particle swarm optimization;
Vectors;
PSO;
SQI;
face recognition;
illumination;
quotient images;
14.
A Further Investigation on the Reliability of Extreme Learning Machines
机译:
极限学习机可靠性的进一步研究
作者:
Yanxing Hu
;
Yuan Wang
;
Jane Jia You
;
Liu Jame N. K.
;
Yulin He
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
gradient methods;
learning (artificial intelligence);
neural nets;
ELM model;
computational intelligence models;
data sets;
extreme learning machine reliability;
gradient-descent-based learning algorithms;
instability;
neural network area;
random production;
random weight assignment;
Accuracy;
Analytical models;
Artificial neural networks;
Data models;
Neurons;
Optimization;
Training;
Extreme Learning Machine;
Random Projection;
Random weight Assignment;
15.
Privacy-Preserving Queries over Outsourced Data with Access Pattern Protection
机译:
具有访问模式保护的外包数据的隐私保护查询
作者:
Shun-Pun Li
;
Man-Hon Wong
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
cryptography;
data encapsulation;
data privacy;
database management systems;
indexing;
outsourcing;
query processing;
access pattern protection;
data confidentiality protection;
data encryption;
database outsourcing;
encrypted tuples;
indexing tags;
inference attack;
information disclosure;
outsourced data;
privacy-preserving queries;
query access patterns;
query predicate;
query processing;
sensitive information hiding;
server computational resources;
single-server environments;
time-based events;
Couplings;
Databases;
Encryption;
Medical services;
Privacy;
Servers;
access pattern protection;
access privacy;
database outsourcing;
privacy-preserving query;
16.
Expander Graph Quality Optimisation in Randomised Communication
机译:
随机通信中的扩展器图质量优化
作者:
Poonpakdee Pasu
;
Di Fatta Giuseppe
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
graph theory;
optimisation;
overlay networks;
random processes;
search problems;
telecommunication network topology;
decentralised service;
distributed system;
epidemic membership protocol;
expander graph quality optimisation;
expander membership protocol;
expansion property;
fault-tolerant service;
network overlay topology;
peer sampling service;
random graph;
randomised communication;
search heuristic;
Convergence;
Graph theory;
Indexes;
Network topology;
Peer-to-peer computing;
Protocols;
Topology;
decentralised algorithms;
epidemic protocols;
expander graphs;
extreme-scale computing;
17.
NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems
机译:
NLMF:用于Top-N推荐系统的非线性矩阵分解方法
作者:
Kabbur Santosh
;
Karypis George
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
matrix decomposition;
recommender systems;
NLMF method;
dot product;
global preference;
interest-specific preference;
nonlinear matrix factorization method;
nonlinear model;
recommendation score;
top-N recommendation method;
top-n recommender system;
user preference;
Computational modeling;
Data mining;
Mathematical model;
Optimization;
Predictive models;
Training;
Vectors;
Data mining;
Database Applications;
Mining methods and algorithms;
Personalization;
18.
Discovering Organizational Correlations from Twitter
机译:
从Twitter发现组织关联
作者:
Jingyuan Zhang
;
Xiaoxiao Shi
;
Xiangnan Kong
;
Hong-Han Shuai
;
Yu Philip S.
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
graph theory;
knowledge representation;
social networking (online);
unsupervised learning;
Twitter data;
knowledge representation;
multiCG;
multiple correlation graph based model;
organizational correlation mining;
unsupervised framework;
Companies;
Correlation;
Data mining;
High definition video;
Standards organizations;
Twitter;
Twitter;
correlation;
organization;
19.
Blood Vessel Segmentation in Pathological Retinal Image
机译:
病理视网膜图像中的血管分割
作者:
Zhe Han
;
Yilong Yin
;
Xianjing Meng
;
Gongping Yang
;
Xiaowei Yan
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
blood vessels;
eye;
image segmentation;
medical image processing;
statistical analysis;
support vector machines;
DRIVE;
STATE;
automatic retinal image analysis;
clinical diagnosis;
gray level;
morphology feature;
multiscale local statistical feature;
optic disk;
pathological retinal image;
retinal blood vessel segmentation;
retinal vessel segmentation;
support vector classifier;
Accuracy;
Biomedical imaging;
Blood vessels;
Databases;
Feature extraction;
Image segmentation;
Retina;
medical image analysis;
pathological retinal image;
retinal vessel segmentation;
support vector classifier;
20.
Taming a Fuzzer Using Delta Debugging Trails
机译:
使用Delta调试路径驯服Fuzzer
作者:
Yuanli Pei
;
Christi Arpit
;
Xiaoli Fern
;
Groce Alex
;
Weng-Keen Wong
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
program debugging;
program testing;
software tools;
bug-triggering random test cases;
delta debugging trails;
furthest point first ranking algorithm;
fuzzer taming;
minimal failure-inducing test case;
random testing tools;
Computer bugs;
Conferences;
Debugging;
Engines;
Feature extraction;
Software;
Testing;
Automated Testing;
Fuzzer Taming;
Fuzzing;
Software Testing;
Test-Case Reduction;
21.
Merging Classifiers of Different Classification Approaches
机译:
合并不同分类方法的分类器
作者:
Danylenko Antonina
;
Lowe Welf
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Bayes methods;
data structures;
decision trees;
graph theory;
pattern classification;
random processes;
Naive Bayesian classifiers;
classification approach;
classification models;
classifier capturing;
data structures;
decision algebra;
decision functions;
decision graphs;
decision trees;
distributed learning;
higher order decision functions;
learning strategies;
merge operation;
online learning;
random samples;
Accuracy;
Algebra;
Bayes methods;
Context;
Decision trees;
Maintenance engineering;
Merging;
Merging classifiers;
combining classifiers;
decision algebra;
decision functions;
22.
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams
机译:
解决非平稳快速数据流的增量集成分类器
作者:
Parker Brandon S.
;
Khan Latifur
;
Bifet Albert
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Big Data;
data mining;
learning (artificial intelligence);
pattern classification;
Big Data;
M3 method;
MOA framework;
UCI benchmark;
data generative function;
data mining;
data point classification;
incremental ensemble classifier;
massive online analysis framework;
nonstationary distribution;
nonstationary fast data streams;
one-pass algorithms;
reinforcement learning techniques;
static data;
stream classification;
synthetic stream generator data sets;
weighted majority ensemble;
Accuracy;
Data mining;
Equations;
Heuristic algorithms;
Prediction algorithms;
Training;
Training data;
Big Data;
Fast Data;
Stream mining;
classifier;
non-stationary distribution;
23.
Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations
机译:
利用论文内容和引文链接来识别和表征专业
作者:
Han Xu
;
Martin Eric
;
Mahidadia Ashesh
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
citation analysis;
information needs;
citation links;
information needs;
literature exploration;
paper contents;
scientific domain subfield specialisations;
Analytical models;
Communities;
Data models;
Measurement;
Semantics;
Speech recognition;
Tagging;
Contents and citation links;
Multi-step community detection;
Resolution limit;
Specialisation characterisation;
Specialisation discovery;
24.
Trip Router: A Time-Sensitive Route Recommender System
机译:
跳闸路由器:时间敏感的路由推荐系统
作者:
Hsun-Ping Hsieh
;
Cheng-Te Li
;
Shou-De Lin
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
geographic information systems;
mobile computing;
recommender systems;
statistical analysis;
TripRouter;
geo-spatial recording action;
guidance search;
large-scale location check-in data;
location-based service;
statistical route goodness measur;
time stamps;
time-sensitive route recommender system;
time-sensitive trip routes;
transit time;
Cities and towns;
Data mining;
Planning;
Position measurement;
Search methods;
Time measurement;
Trajectory;
check-in data;
location-based services;
time-sensitive;
trip route;
25.
Multiple Subscriber-Identity-Module Detection Using Social Network Analysis Techniques
机译:
使用社交网络分析技术的多订户身份模块检测
作者:
Maher Ahmed
;
Ghoneim Ahmed
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data warehouses;
graph theory;
telecommunication computing;
telecommunication industry;
SIM cards;
SNA-based approach;
behavioral attributes;
centrality metrics;
charging-billing systems;
competing mobile operators;
data warehouse;
in-database metrics implementation;
link attributes;
model verification;
multiSIM base penetration;
multiSIM detection;
multiSIM probability deciles;
multiple subscriber-identity-module detection;
social circles;
social network analysis techniques;
social network graph;
telco customers;
telecommunications operators;
tuning campaigns;
Analytical models;
Data warehouses;
Linear regression;
Mathematical model;
Measurement;
Predictive models;
Social network services;
cluster analysis;
community detection;
data warehousing;
equivalence analysis;
regression models;
social network analysis;
telecommunications;
26.
Latent Factor SVM for Text Categorization
机译:
潜在因素SVM用于文本分类
作者:
Xiaofei Zhou
;
Li Guo
;
Ping Liu
;
Yanbing Liu
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
natural language interfaces;
statistical analysis;
support vector machines;
text analysis;
LF-SVM;
category representation;
content analysis;
convex structure;
latent factor SVM;
latent factor vectors;
maximal margin hyper plane;
nature language process;
probability latent semantic analysis;
text categorization;
text datasets;
Feature extraction;
Semantics;
Support vector machine classification;
Text categorization;
Training;
Vectors;
PLSA;
SVM;
Text categorization;
latent semantic;
text classification;
27.
What Makes an Open Source Code Popular on Git Hub?
机译:
是什么使开源代码在Github上流行?
作者:
Weber Simon
;
Jiebo Luo
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
knowledge acquisition;
public domain software;
social networking (online);
software engineering;
source code (software);
system documentation;
GitHub;
Python project;
code quality;
code volume;
documentation;
in-depth analysis;
knowledge extraction;
language utilization;
open source code;
open source project;
social network;
software development;
Communities;
Conferences;
Current measurement;
Data mining;
Documentation;
Feature extraction;
Software;
Git Hub;
Python;
open source software;
popularity prediction;
28.
Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media
机译:
Eventera:大规模异构在线媒体的实时事件推荐系统
作者:
Dongyeop Kang
;
Donggyun Han
;
Park Nahea
;
Sangtae Kim
;
Kang U.
;
Soobin Lee
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
data mining;
query processing;
recommender systems;
social networking (online);
Eventera;
Internet forums;
causal relationship discovery;
causal relationships;
event summarization;
heterogeneous channels;
massive heterogeneous online media;
meaningful association discovery;
real-time event recommendation system;
search queries;
sequence map;
social media;
user-interested news events;
Communities;
Data models;
Detectors;
Media;
Real-time systems;
Search engines;
Twitter;
event detector;
event recommendation;
online media;
sequence map;
summarization;
29.
Finding Valuable Yelp Comments by Personality, Content, Geo, and Anomaly Analysis
机译:
通过个性,内容,地理位置和异常分析查找有价值的Yelp评论
作者:
Koven Jay
;
Siadati Hossein
;
Ching-Yung Lin
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Web sites;
information analysis;
pattern classification;
unsolicited e-mail;
Yelp comments;
anomaly analysis;
content analysis;
geo analysis;
personality analysis;
spam review detection;
user experience;
user opinion;
Accuracy;
Business;
Data mining;
Educational institutions;
Feature extraction;
Machine learning algorithms;
Vectors;
Machine Learning;
Security;
Usability;
Valuable Review Detection;
30.
Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis
机译:
基于数字笔分析的手写书写和思维过程建模
作者:
Ikegami Kenshin
;
Ohsawa Yukio
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Big Data;
cognition;
creating process;
digital pen analysis;
externalization;
handwriting;
thinking process;
thinking time;
writing process;
writing time;
Conferences;
Correlation;
Educational institutions;
Equations;
Planning;
Transportation;
Writing;
cognition;
handwriting;
meta cognition;
modeling;
31.
Visual-VM: A Social Network Visualization Tool for Viral Marketing
机译:
Visual-VM:病毒式营销的社交网络可视化工具
作者:
Cheng Long
;
Wong Raymond Chi-Wing
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data visualisation;
marketing data processing;
social networking (online);
Visual-VM tool;
social network exploration;
social network visualization tool;
user location information;
viral marketing;
Cities and towns;
Diffusion processes;
Integrated circuit modeling;
Layout;
Minimization;
Social network services;
Visualization;
Social network visualization;
viral marketing;
32.
Active Learning with Nonparallel Support Vector Machine for Binary Classification
机译:
基于非并行支持向量机的二元分类主动学习
作者:
Xi Zhao
;
Zhensong Chen
;
Yong Shi
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
learning (artificial intelligence);
pattern classification;
support vector machines;
active learning;
binary classification;
labeled data;
nonparallel support vector machine;
Accuracy;
Educational institutions;
Equations;
Kernel;
Mathematical model;
Optimization;
Support vector machines;
active learning;
binary classification;
nonparallel support vector machine;
33.
Imputation of Missing Values in Time Series with Lagged Correlations
机译:
具有滞后相关的时间序列中的缺失值的插补
作者:
Rahman Shah Atiqur
;
Yuxiao Huang
;
Claassen Jan
;
Kleinberg Samantha
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Fourier transforms;
data mining;
electronic health records;
time series;
FLk-NN;
Fourier transform;
biomedical time series;
data mining;
missing value imputation;
patient medical record;
time lagged correlations;
Correlation;
Fourier transforms;
Insulin;
Sugar;
Time series analysis;
Training;
Vectors;
Fourier imputation;
correlated data with time-lag;
extended k-NN imputation;
missing data;
34.
A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees
机译:
基于支持向量机和决策树的协同自适应入侵检测
作者:
Luyao Teng
;
Shaohua Teng
;
Feiyi Tang
;
Haibin Zhu
;
Wei Zhang
;
Dongning Liu
;
Lu Liang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
decision trees;
scheduling;
security of data;
support vector machines;
DT;
E-CARGO model;
SVM;
decision tree;
intrusion detection;
network security;
scheduling mechanism;
support vector machine;
Adaptation models;
Collaboration;
Detectors;
Feature extraction;
Generators;
Intrusion detection;
Support vector machines;
Adaptive;
Agent;
Collaborative;
Decision Tree;
Group;
Intrusion Detection;
Role;
Support Vector Machine (SVM);
35.
Query Hidden Attributes in Social Networks
机译:
社交网络中的查询隐藏属性
作者:
Nazi Azade
;
Thirumuruganathan Saravanan
;
Hristidis Vagelis
;
Nan Zhang
;
Shaban K.
;
Das Goutam
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
graph theory;
groupware;
query processing;
social networking (online);
user interfaces;
Amazon;
Twitter programming interface;
access interface;
collaborative content sites;
content search;
get-neighbors interface;
heterogeneous graphs;
keyword search interface;
local search;
microblogs;
query hidden attribute;
rudimentary mechanism;
social network;
Collaboration;
Communities;
Diabetes;
Keyword search;
Navigation;
Twitter;
Hidden attribute;
Microblogs and collaborative content sites;
Query social network;
36.
Medical Error Prevention Based on Path Integration System Approach
机译:
基于路径集成系统方法的医疗错误预防
作者:
Sheung Wai Chan
;
Leung Clement
;
Cheng Victor
;
Jiming Liu
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
information technology;
medical computing;
IT systems;
PISA;
clinical staff;
communication technology;
error barriers;
error-prone procedures;
health systems processes;
information technology;
injuries;
medical error prevention;
medical error reduction;
medical procedure paths;
path integration system approach;
unnecessary iatrogenic deaths;
Databases;
Drugs;
Guidelines;
Medical diagnostic imaging;
Radiofrequency identification;
Surgery;
medical error;
person approach;
system approach;
37.
Parallel Frequent Pattern Mining without Candidate Generation on GPUs
机译:
在GPU上没有候选生成的并行频繁模式挖掘
作者:
Fei Wang
;
Bo Yuan
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
graphics processing units;
parallel algorithms;
parallel architectures;
trees (mathematics);
CUDA dynamic parallelism technique;
FP-tree;
GPU;
data mining algorithm;
graphics processing unit;
parallel algorithm;
parallel frequent pattern mining;
Algorithm design and analysis;
Data mining;
Graphics processing units;
Heuristic algorithms;
Instruction sets;
Itemsets;
Parallel processing;
Dynamic Parallelism;
FP-Growth;
FP-Tree;
GPU;
38.
Efficient and Accelerated Online Learning for Sparse Group Lasso
机译:
稀疏组套索的高效,加速在线学习
作者:
Li Zhi-Jie
;
Li Yuan-Xiang
;
Wang Feng
;
Yu Fei
;
Xiang Zheng-Long
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
computational complexity;
learning (artificial intelligence);
accelerated online learning algorithm;
batch-mode group lasso algorithms;
large-scale problem;
memory cost;
online algorithm;
online learning algorithms;
sparse group lasso model;
theoretical convergence rate;
time complexity;
worst-case time complexity;
Acceleration;
Algorithm design and analysis;
Convergence;
Optimization;
Software algorithms;
Time complexity;
Vectors;
accelerated convergence;
dual averaging method;
group lasso;
online learning;
sparsity;
39.
Clinical Decision Making: A Framework for Predicting Rx Response
机译:
临床决策:预测Rx反应的框架
作者:
Sathyanarayana Aarti
;
Pathak Jyotishman
;
McCoy Rozalina
;
Romero-Brufau Santiago
;
Panaziahar Maryam
;
Srivastava Jaideep
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
decision making;
diseases;
Metformin;
Rx response prediction;
clinical decision making;
decision trees;
diabetes;
prescription medication;
random forests;
Data models;
Decision making;
Decision trees;
Diabetes;
Medical diagnostic imaging;
Predictive models;
Sugar;
Decision support systems;
electronic medical records;
fuzzy logic;
medical information systems;
predictive models;
supervised learning;
support vector machines;
40.
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data
机译:
使用关联规则挖掘对电子医疗数据进行药物不良反应
作者:
Reps Jenna M.
;
Aickelin Uwe
;
Jiangang Ma
;
Yanchun Zhang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
database management systems;
drugs;
health care;
information filtering;
medical information systems;
absolute risk value;
adverse drug reaction;
association rule mining;
confounding-adjusted risk value;
electronic healthcare database;
exposure-outcome association;
information filtering;
patient medical history;
prescribed medication;
side effect signal;
side effects;
true side effect occurrence;
Association rules;
Drugs;
Educational institutions;
Itemsets;
Logistics;
adverse drug reaction;
causal inference;
signal refinement;
41.
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel
机译:
Wineinformatics:在计算酒轮处理的酒感官评论中应用数据挖掘
作者:
Chen Bing
;
Rhodes Christopher
;
Crawford Aaron
;
Hambuchen Lorri
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
information retrieval;
manufacturing data processing;
pattern clustering;
production engineering computing;
wine industry;
application domain;
association rules algorithm;
computational wine wheel;
data mining;
data science;
domain knowledge;
hierarchical clustering algorithm;
human language format;
key words extraction;
professional wine reviews;
wine characteristics;
wine consumers;
wine distributers;
wine makers;
wine savory reviews;
wineinformatics;
wines flavors;
Association rules;
Clustering algorithms;
Educational institutions;
Testing;
Vegetation;
Wheels;
Association Rules;
Clustering;
Data Mining;
Data Science;
Wine Informatics;
42.
Random KNN
机译:
随机KNN
作者:
Shengqiao Li
;
Harner E. James
;
Adjeroh Donald /A/.
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
pattern classification;
random processes;
Random KNN;
base k-nearest neighbor classifiers;
high-dimensional datasets;
nearest-neighbor modeling;
Approximation methods;
Complexity theory;
Computational modeling;
Convergence;
Error analysis;
Radio frequency;
Random variables;
Classification;
Feature Selection;
High Dimensional Data;
KNN;
Microarray Data;
Random KNN;
43.
Two approaches of using heavy tails in high dimensional EDA
机译:
在高维EDA中使用粗尾的两种方法
作者:
Sanyang Momodou L.
;
Muehlbrandt Hanno
;
Kaban Ata
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Gaussian distribution;
learning (artificial intelligence);
matrix algebra;
sampling methods;
Cauchy distribution;
Gaussian distribution;
RP matrix;
estimation-of-distribution algorithm;
heavy tailed distribution;
high dimensional EDA;
high dimensional black-box optimisation;
multivariate Cauchy sampling;
multivariate heavy tailed search distribution;
multivariate modelling;
random projections ensemble based approach;
Buildings;
Covariance matrices;
Educational institutions;
Optimization;
Search problems;
Sociology;
Estimation of Distribution Algorithm;
Multivariate Cauchy EDA;
Multivariate Gaussian EDA;
Random Projection;
44.
Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation
机译:
使用本地成对标签相关性通过邻域决策对社交媒体进行分类
作者:
Jun Huang
;
Guorong Li
;
Shuhui Wang
;
Qingming Huang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
correlation theory;
learning (artificial intelligence);
pattern classification;
probability;
social networking (online);
LPLC;
k nearest neighbor algorithm;
local pairwise label correlation;
multilabel classification;
multilabel learning algorithm;
neighborhood decision;
posterior probability;
social media data;
Correlation;
Measurement;
Media;
Prediction algorithms;
Probability;
Social network services;
Training;
Local Pairwise Label Correlation;
Multi-Label Classification;
Social Multimedia;
k nearest neighbors;
45.
Clustering and Classification of Like-Minded People from their Tweets
机译:
志趣相投者的推文聚类和分类
作者:
Jaffali Soufiene
;
Jamoussi Salma
;
Ben Hamadou Abdelmajid
;
Smaili Kamel
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
pattern classification;
pattern clustering;
social networking (online);
classification method;
clustering method;
like-minded people grouping;
online social network;
Algorithm design and analysis;
Classification algorithms;
Clustering algorithms;
Communities;
Principal component analysis;
Social network services;
Support vector machines;
communities discovery;
like-minded users;
social network;
text mining;
46.
HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs
机译:
HealthSCOPE:交互式的分布式数据挖掘框架,可用于医疗费用的可扩展预测
作者:
Marquardt Ames
;
Newman Stacey
;
Hattarki Deepa
;
Srinivasan Rajagopalan
;
Sushmita Shanu
;
Ram Prabhu
;
Prasad Viren
;
Hazel David
;
Ramesh Archana
;
De Cock Martine
;
Teredesai Ankur
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
costing;
data mining;
distributed processing;
health care;
insurance data processing;
ACOs;
HealthSCOPE;
Microsoft Azure infrastructure;
PMML;
Spark MLLib;
accountable care organizations;
back-end system;
cloud based prediction services;
future cost prediction;
healthcare cost estimation;
healthcare scalable cost prediction engine;
historical claims data;
historical healthcare costs;
interactive data mining framework;
interactive distributed data mining framework;
nondistributed environments;
population based view;
predictive model markup language;
present day healthcare costs;
Computational modeling;
Data mining;
Data models;
Medical services;
Predictive models;
Sociology;
Statistics;
Healthcare cost prediction;
Microsoft Azure;
PMML;
Spark;
distributed data mining;
insurance claims data;
47.
e2-Diagnoser: A System for Monitoring, Forecasting and Diagnosing Energy Usage
机译:
e2-Diagnoser:用于监视,预测和诊断能源使用的系统
作者:
Ploennigs Joern
;
Bei Chen
;
Palmes Paulito
;
Lloyd Raymond
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
building management systems;
computerised monitoring;
data integration;
data mining;
energy consumption;
energy management systems;
intelligent sensors;
learning (artificial intelligence);
power engineering computing;
semantic Web;
statistical analysis;
user interfaces;
GAM;
abnormal energy consumption diagnosis;
building energy usage prediction;
data integration;
e2-Diagnoser;
energy usage diagnosis;
energy usage forecasting;
energy usage monitoring;
generalized additive model;
interactive user interface;
real-time data mining system;
semantic Web technologies;
smart sensor-equipped building energy management;
smart-grid networks;
statistical learning algorithm;
stream processing platform;
Benchmark testing;
Buildings;
Data mining;
Data models;
Energy consumption;
Meteorology;
Portfolios;
Building Benchmark;
Energy Prediction;
Pattern Extraction;
Smart Buildings;
48.
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy
机译:
在没有参考对象的情况下评估光谱混合质量的时间间隔荧光显微镜
作者:
Liyan Liu
;
Kan Andrey
;
Zhou Jie H. S.
;
Markham John F.
;
Hodgkin Philip D.
;
Leckie Christopher
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
biological techniques;
cellular biophysics;
fluorescence;
optical microscopy;
spatiotemporal phenomena;
correlation-based quality measure;
cross-talk coefficient estimation;
individual cell behaviour monitoring;
multicolour fluorescence reporters;
spatiotemporal information;
spectral unmixing quality evaluation;
time lapse fluorescence microscopy;
Cloning;
Correlation;
Equations;
Image segmentation;
Mathematical model;
Microscopy;
Training data;
Time lapse fluorescence microscopy;
quality evaluation;
spectral unmixing methods;
training data;
49.
Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images
机译:
CT图像病变计算机辅助检测中多学习机训练样本的挖掘
作者:
Suzuki Kenji
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
computerised tomography;
data mining;
image classification;
learning (artificial intelligence);
medical image processing;
tumours;
CT Image;
computer-aided detection;
data mining;
ensemble training;
lesion;
multiple learning machines;
receiver-operating-characteristic;
Artificial neural networks;
Colonography;
Computed tomography;
Design automation;
Lesions;
Solid modeling;
Training;
classification;
ensemble training;
mining training samples;
multiple machine learning;
50.
Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei
机译:
基于最小信息丢失的多核学习对布鲁氏锥虫鞭毛蛋白的识别
作者:
Wang Jim Jing-Yan
;
Xin Gao
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
approximation theory;
cellular biophysics;
diseases;
drugs;
iterative methods;
learning (artificial intelligence);
medical computing;
microorganisms;
molecular biophysics;
pattern classification;
probability;
proteins;
African trypanosomiasis;
KL divergence;
Kullback Leibler divergence;
T. brucei proteins;
Trypanosome brucei;
approximation;
biological research;
drug design;
flagellar protein recognition;
iterative multikernel classifier learning algorithm;
minimum information loss based multikernel learning;
multifunctional organelle;
multikernel classification function;
nonflagellar protein;
optimal decision function;
pathogen agent;
pattern recognition methods;
probability functions;
Approximation methods;
Feature extraction;
Kernel;
Loss measurement;
Proteins;
Training;
Vectors;
Flagellar protein;
Information Loss;
Kullback Leibler divergence;
Multi-Kernel Learning;
Trypanosma brucei;
51.
Mining Cursor Motions to Find the Gender, Experience, and Feelings of Computer Users
机译:
挖掘光标运动以发现计算机用户的性别,体验和感觉
作者:
Yamauchi Takashi
;
Bowman Casady
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
cognition;
data mining;
human computer interaction;
user modelling;
arm movements;
body states;
computer cursors movements;
computer users;
cursor motions mining;
cursor trajectory features;
dynamic user profile mining;
embodied cognition;
emotional experience;
facial expressions;
feelings;
gender;
mental activities;
participant profiles;
perception tasks;
postures;
trajectory variables;
user modeling;
Cognition;
Computers;
Data mining;
Feature extraction;
Films;
Psychology;
Trajectory;
Cursor Trajectory Analysis;
User Modeling;
52.
Chinese Microblog Sentiment Classification Based on Deep Belief Nets with Extended Multi-Modality Features
机译:
基于扩展多模态特征深层信任网的中文微博情感分类
作者:
Xiao Sun
;
Chengcheng Li
;
Wanyi Xu
;
Ren Fengyuan
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Boltzmann machines;
Web sites;
belief networks;
document handling;
feature extraction;
learning (artificial intelligence);
pattern classification;
statistical distributions;
Chinese microblog sentiment classification;
Chinese microblogging sentiment classification;
DBN model;
RBM layers;
class RBM layer;
classification RBM layer;
comment extraction;
deep belief nets model;
deep learning method;
extended multimodality features;
feature dimensionality extension method;
feature representation;
microblogging social network;
multimodality feature extraction method;
neural network;
probability distribution samples;
restricted Boltzmann machine;
short-length document classification;
Blogs;
Educational institutions;
Feature extraction;
Semantics;
Social network services;
Training;
Visualization;
Class RBM;
DBN;
RBM;
multi-modatify features;
social network;
53.
DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds
机译:
DISC:上界较紧的高效不确定的频繁模式挖掘
作者:
MacKinnon Richard Kyle
;
Strauss Teagan D.
;
Leung Carson Kai-Sang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
pattern recognition;
probability;
tree data structures;
trees (mathematics);
CUF-growth algorithm;
DISC;
information storage;
item set;
probability values;
space requirement;
storage space;
tree-based exact algorithm;
uncertain data;
uncertain frequent pattern mining;
Algorithm design and analysis;
Approximation algorithms;
Clustering algorithms;
Conferences;
Data mining;
Databases;
Upper bound;
Association analysis;
data mining algorithms;
frequent patterns;
tree structures;
uncertain data;
54.
Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness
机译:
基于相对性的战略场景新颖性评估
作者:
Hayashi Teruaki
;
Ohsawa Yukio
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
decision making;
innovation management;
social sciences computing;
action planning;
creative thinking;
decision making;
ideas cultivation;
innovators marketplace;
low relative knowledge;
relativeness;
role-scenario affinities;
social issues;
strategic scenarios;
subjective assessment estimation;
Companies;
Decision making;
Educational institutions;
Games;
Planning;
Innovators Marketplace;
creativity support;
decision making;
scenario;
55.
Sequential Pattern Analysis with Right Granularity
机译:
正确粒度的顺序模式分析
作者:
Chuanren Liu
;
Kai Zhang
;
Hui Xiong
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Big Data;
data mining;
data visualisation;
health care;
marketing;
pattern classification;
B2B;
big data;
business-to-business marketing;
buying path prediction;
data mining;
dynamic business environments;
financial modelling;
healthcare industry;
marketing analytics;
motion gesture;
multimedia analysis;
noisy customer event data;
rich temporal content;
right granularity;
sequential data exploration;
sequential data quantification;
sequential data visualization;
sequential pattern analysis;
sequential pattern mining;
sequential pattern modelling;
statistically relevant temporal structures;
stock price trend;
undirected graph;
video sequence recognition;
Business;
Data mining;
Data models;
Data visualization;
Hidden Markov models;
Medical services;
Pattern analysis;
56.
Joint Visual and Textual Mining on Social Media
机译:
社交媒体上的视觉和文本联合挖掘
作者:
Jia Xu
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data acquisition;
data mining;
grammars;
image processing;
learning (artificial intelligence);
social networking (online);
text analysis;
knowledge extraction;
social Websites;
social media data;
supervised learning;
supervised visual parsing;
textual mining;
visual mining;
Conferences;
Data mining;
Joints;
Knowledge based systems;
Media;
Semantics;
Visualization;
Mining Text;
Multimedia Data;
Video Summarization;
Visual Parsing;
Weakly Supervised Learning;
57.
A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams
机译:
观点流上的半监督自适应分类器
作者:
Zimmerann Max
;
Ntoutsi Eirini
;
Spiliopoulou Myra
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
classification;
document handling;
expert systems;
learning (artificial intelligence);
vocabulary;
S*3 learner;
arriving document;
document arrival;
feature space;
human expert;
labeled document;
learning adaptation;
model adaption;
opinionated document;
opinionated stream;
opinionated word;
polarity learning;
semisupervised opinion stream classification algorithm;
semisupervised self-adaptive classifier;
vocabulary evolution;
Entropy;
Estimation;
Integrated circuits;
Sentiment analysis;
Training;
Twitter;
Vocabulary;
Big Data Streams;
Semi-Supervised Stream Learning;
Stream Classification;
Twitter Sentiment Analysis;
58.
Dimensionality Reduction Based Similarity Visualization for Neural Gas
机译:
基于降维的神经气体相似度可视化
作者:
Tasdemir Kadim
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data analysis;
data visualisation;
self-organising feature maps;
stochastic processes;
vector quantisation;
Connives;
NG based visualization;
NG visualization;
SOM;
T-SNE projection;
data space similarity;
data visualization;
dimensionality reduction;
high-dimensional data space;
high-dimensional large dataset;
interactive analysis;
low-dimensional projection space;
neural gas;
neural network;
projection technique;
quantization error;
real dataset;
rigid grid structure;
self-organizing map;
similarity visualization;
stochastic neighbor embedding;
student t-distribution;
synthetic dataset;
t-SNE;
topology-based visualization;
vector quantization;
visualization tool;
Data visualization;
Manifolds;
Prototypes;
Quantization (signal);
Three-dimensional displays;
Topology;
Visualization;
connectivity;
data visualization;
dimensionality reduction;
neural gas;
similarity visualization;
t-SNE;
59.
Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines
机译:
基于Rényi发散的分类受限Boltzmann机器学习泛化。
作者:
Qian Yu
;
Yuexian Hou
;
Xiaozhao Zhao
;
Guochen Cheng
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Boltzmann machines;
document handling;
face recognition;
generalisation (artificial intelligence);
learning (artificial intelligence);
pattern classification;
statistical distributions;
CLL objective;
Class RBM;
Rényi divergence based generalization;
Rényi divergence-based regularization;
classification RBM;
classification restricted Boltzmann machines;
conditional log likelihood objective;
discriminative learning objective;
distribution constraint;
document classification;
general learning criterion;
human face recognition;
learning method;
learning model;
parameter sensitivity;
probabilistic interpretation;
sample-based distribution;
training method;
Databases;
Educational institutions;
Error analysis;
Face recognition;
Learning systems;
Linear programming;
Training;
Classification RBM;
Discriminative Learning;
Rényi Divergence;
60.
Estimating Online User Location Distribution without GPS Location
机译:
在没有GPS位置的情况下估计在线用户位置分布
作者:
Yusheng Xie
;
Yu Cheng
;
Agrawal Ankit
;
Choudhary Alok
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
mobile computing;
user interfaces;
English location description;
GPS information;
GPS-free user location distribution estimation;
TV segment advertising;
demographic gap;
distribution estimation metric;
geodemographic histograms;
neural language model;
offline user location estimation;
online information;
online user location distribution;
semantic similarity;
Global Positioning System;
Google;
Histograms;
Measurement;
Sociology;
TV;
Twitter;
GPS;
location;
offline social network;
online social network;
61.
Cost-Effective User Monitoring for Popularity Prediction of Online User-Generated Content
机译:
具有成本效益的用户监视,用于在线用户生成内容的流行度预测
作者:
Mengmeng Yang
;
Kai Chen
;
Zhongchen Miao
;
Xiaokang Yang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
information retrieval;
monitoring;
publishing;
social networking (online);
user interfaces;
Sina Weibo micro blogger;
cost-effective popularity prediction framework;
cost-effective user monitoσring;
high quality predictions;
hybrid user selection algorithm;
informative users selection;
online data retrieving;
online user-generated contents;
popularity prediction algorithms;
popularity user-generated contents;
publishing time;
Accuracy;
Internet;
Monitoring;
Prediction algorithms;
Predictive models;
User-generated content;
Videos;
cost-effective;
online user-generated content;
popularity prediction;
user selection;
62.
Web Service QoS Prediction Approach in Mobile Internet Environments
机译:
移动Internet环境中的Web服务QoS预测方法
作者:
Lubao Wang
;
Qibo Sun
;
Shangguang Wang
;
You Ma
;
Jinliang Xu
;
Jinglin Li
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Web services;
mobile computing;
quality of service;
QoS data volatility;
QoS predicting;
QoS preprocessing;
Web service QoS prediction approach;
mobile Internet environments;
user similarity computing;
Accuracy;
History;
Mobile communication;
Quality of service;
Time factors;
Web services;
QoS;
Web services;
collaborative filtering;
correlation coefficient;
63.
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance
机译:
基于超像素和有效距离的接触阴道细菌分割与分裂
作者:
Youyi Song
;
Dong Ni
;
Liang He
;
Siping Chen
;
Baiying Lei
;
Tianfu Wang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
image fusion;
image segmentation;
medical image processing;
microorganisms;
support vector machines;
feature fusion;
kernel-based SVM;
kernel-based support vector machine;
performance evaluation;
superpixel method;
touching vaginal bacteria segmentation;
touching vaginal bacteria splitting;
Feature extraction;
Image color analysis;
Image segmentation;
Kernel;
Microorganisms;
Shape;
Support vector machines;
Segmentation;
effective distance;
splitting;
superpixel;
vaginal bacteria;
64.
Smart Saver: A Consumer-Oriented Web Service for Energy Disaggregation
机译:
Smart Saver:面向消费者的Web服务,用于能源分解
作者:
Guoming Tang
;
Jie Chen
;
Cheng Chen
;
Kui Wu
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Web services;
energy conservation;
energy consumption;
power engineering computing;
smart meters;
appliance monitoring;
consumer-oriented Web service;
energy conservation;
energy consumption;
energy disaggregation;
power model;
smart meter;
smart saver;
sparse switching event recovery model;
Energy consumption;
Home appliances;
Load modeling;
Memory;
Monitoring;
Real-time systems;
Web servers;
65.
Out-of-Sample Error Estimation: The Blessing of High Dimensionality
机译:
样本外误差估计:高维的祝福
作者:
Oneto Luca
;
Ghio Alessandro
;
Ridella Sandro
;
Reyes Ortiz Jorge Luis
;
Anguita Davide
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
biology computing;
estimation theory;
genetics;
pattern classification;
statistical analysis;
cardinality;
data correlation;
data similarity;
estimated error;
high dimensionality;
out-of-sample error estimation;
real-world high dimensional human gene expression dataset;
standard statistical inference approach;
supervised classification task;
Accuracy;
Cancer;
Computational modeling;
Error analysis;
Estimation;
Silicon;
Tumors;
Classification;
Error Estimation;
High Dimensional Problems;
Performance Estimation;
Small Sample;
Supervised Learning;
66.
Joint Propagation and Refinement for Mining Opinion Words and Targets
机译:
联合传播和提炼意见词和目标
作者:
Qiyun Zhao
;
Hao Wang
;
Pin Lv
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
graph theory;
statistical analysis;
text analysis;
ARR;
Chinese datasets;
English datasets;
JPR method;
SGM;
automatic rule refinement;
bootstrapping based methods;
dependency patterns;
error propagation problem;
false result pruning;
heuristic method;
informal texts;
joint propagation and refinement method;
opinion word extraction;
opinion word mining;
sentiment graph model;
statistical word cooccurrence;
target extraction;
target mining;
Batteries;
Computational modeling;
Data mining;
Joints;
Pipelines;
Sentiment analysis;
Syntactics;
Bootstrapping;
Extraction;
Opinion Mining;
Refinement;
Sentiment analysis;
67.
R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment
机译:
R-HBase:用于云计算环境的多维索引框架
作者:
Shan Huang
;
Botao Wang
;
Jingyang Zhu
;
Guoren Wang
;
Ge Yu
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
cloud computing;
database indexing;
query processing;
storage management;
R-HBase;
cloud computing environment;
high throughput;
index layer;
large scale multidimensional data organization;
large scale multidimensional data processing;
multidimensional indexing framework;
multidimensional query processing;
query answering;
storage layer;
synthetic data;
Cloud computing;
Electronic mail;
Generators;
Indexing;
Throughput;
Time factors;
Cloud Computing;
HBase;
Multi-Dimension;
R-Tree;
Space Filling Curve;
68.
Abduction Dealing with Potential Values and Its Datasets
机译:
绑架处理潜在价值及其数据集
作者:
Abe Akinori
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
market research;
marketing data processing;
abduction procedure;
hypothesis generation;
recommendation strategy;
user preference;
value concept;
Cognition;
Data mining;
Decision making;
Equations;
Image color analysis;
Market research;
Standards;
KANSEI;
abduction;
value;
69.
A Novel Time-Frequency Analysis Approach for Nonstationary Time Series Using Multiresolution Wavelet
机译:
基于多分辨率小波的非平稳时间序列时频分析新方法
作者:
Si-Rui Tan
;
Yang Li
;
Ke Li
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
autoregressive processes;
signal processing;
time series;
time-frequency analysis;
wavelet transforms;
OLS algorithm;
TFA;
TVAR modeling;
artificial EEG signal;
multiresolution wavelet decomposition scheme;
multiresolution wavelet method;
nonstationary signals;
nonstationary time series;
orthogonal least squares;
parametric modeling framework;
resultant estimation;
time-dependent parameters;
time-dependent spectral density;
time-frequency analysis;
time-frequency representation;
time-varying autoregressive modeling;
time-varying signal;
wavelet coefficients;
Brain models;
Chebyshev approximation;
Continuous wavelet transforms;
Electroencephalography;
Signal resolution;
Time-frequency analysis;
Chebyshev polynomials;
Kalman filter;
multiresolution wavelet;
orthogonal least squares (OLS);
system identification;
time-frequency analysis;
time-varying models;
70.
Topical Influential User Analysis with Relationship Strength Estimation in Twitter
机译:
Twitter中具有关系强度估计的主题有影响力的用户分析
作者:
Xinyue Liu
;
Hua Shen
;
Fenglong Ma
;
Wenxin Liang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
regression analysis;
social networking (online);
stochastic processes;
Poisson regression-based latent variable model;
TIUA;
Twitter;
interaction frequency;
relationship strength estimation;
retweeting relationship;
topical influential user analysis;
Algorithm design and analysis;
Analytical models;
Educational institutions;
Estimation;
Prediction algorithms;
Twitter;
Relationship strength estimation;
Topical influential user analysis;
Twitter;
71.
Cyberbullying Detection using Time Series Modeling
机译:
使用时间序列建模进行网络欺凌检测
作者:
Potha Nektaria
;
Maragoudakis Manolis
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
behavioural sciences computing;
singular value decomposition;
social aspects of automation;
support vector machines;
time series;
Internet;
SVD;
bullying problem;
cell phones;
classification methods;
communication technologies;
cyber bullying attack;
cyber bullying detection;
cyber predator questions;
dimensionality reduction;
dynamic time warping algorithm;
feature weighting;
lingustic style;
neural network;
online bullying;
personal digital assistants;
sequential data modelling;
singular value decomposition representation;
time series data;
time series modeling;
Data models;
Feature extraction;
Heuristic algorithms;
Large scale integration;
Media;
Support vector machines;
Time series analysis;
SVM feature selection;
cyberbullying;
dynamic time warping;
singular value decomposition;
time series analysis;
72.
Semi-Supervised Method for Multi-category Emotion Recognition in Tweets
机译:
推文中多类别情感识别的半监督方法
作者:
Sintsova Valentina
;
Musat Claudiu
;
Pu Pearl
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
emotion recognition;
learning (artificial intelligence);
natural language processing;
pattern classification;
social networking (online);
BWV;
Twitter;
annotation cost;
balanced weighted voting;
emotion classifier;
emotion detection;
emotional tweets;
imbalanced distribution;
learning strategy;
multicategory emotion recognition;
semisupervised learning method;
semisupervised method;
supervised classifier;
Algorithm design and analysis;
Computational modeling;
Data mining;
Emotion recognition;
Feature extraction;
Semisupervised learning;
Twitter;
Emotion Recognition;
Natural Language Processing;
Semi-Supervised Learning;
Text Mining;
Twitter;
73.
LibEDM: A Platform for Ensemble Based Data Mining
机译:
LibEDM:基于集合的数据挖掘平台
作者:
Qiangli Zhao
;
Yanhuang Jiang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
C++ language;
data mining;
learning (artificial intelligence);
C++ programming language;
LibEDM;
data preprocessing;
data stream mining scopes;
ensemble based data mining;
ensemble learning;
ensemble pruning;
machine learning;
open-source library;
stable performance improvement;
statistical tests;
stream-based ensemble;
uniform platform;
Bagging;
Classification algorithms;
Data mining;
Libraries;
Prediction algorithms;
Support vector machine classification;
Training;
C++;
data stream mining;
ensemble learning;
ensemble pruning;
toolkit;
74.
A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays
机译:
利用高频现场可编程门阵列进行实时异常检测的新型耦合度量学习
作者:
Jiang Frank
;
Luo Dan
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
data analysis;
field programmable gate arrays;
security of data;
support vector machines;
Bayesian classifier;
FPGA-based intrusion detection system;
Internet end-users;
NetFlow-based IDS dataset;
data analytic techniques;
device to device connections;
false alarm rate;
high-frequency field programmable gate arrays;
metric learning;
real-time anomalies detection;
real-time online fraud detection system security;
support vector machines classifier;
Field programmable gate arrays;
Intrusion detection;
Measurement;
Neural networks;
Real-time systems;
Software;
Vectors;
Metric Learning;
Field Programmable Gate Arrays;
Netflow;
Intrusion Detection Systems;
75.
An Efficient Algorithm for Finding Continuous Coherent Evolution Bicluster in Time-Series Data
机译:
在时间序列数据中寻找连续相干演化图元的有效算法
作者:
Yun Xue
;
Jie Luo
;
Haolan Zhang
;
Zhengling Liao
;
Meihang Li
;
Qiuhua Kuang
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
bioinformatics;
data analysis;
data mining;
foreign exchange trading;
genetics;
pattern clustering;
statistical analysis;
time series;
bicluster mining;
biclustering algorithm;
biclustering model;
biological relevance;
contiguous column coherent evolution;
continuous coherent evolution bicluster finding;
currency data analysis;
financial field;
noncontinuous column;
statistical significance;
time series gene expression data analysis;
time-lagged bicluster;
Algorithm design and analysis;
Clustering algorithms;
Evolution (biology);
Gene expression;
Indexes;
Market research;
Time series analysis;
bicluster;
coherent evolution;
complementary;
time-lagged;
time-series data;
76.
Defensibility-Based Classification for Argument Mining
机译:
基于防御的论元分类
作者:
Kido Hiroyuki
;
Ohsawa Yukio
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data mining;
directed graphs;
heuristic programming;
pattern classification;
argument mining;
argumentation consequences;
argumentation theory;
artificial intelligence;
defensibility-based classification;
directed graph;
downward refinement operators;
hypothesis space;
upward refinement operators;
Conferences;
Cost function;
Data mining;
Lattices;
Machine learning algorithms;
Semantics;
Training;
77.
Creating Essential Hypothesis and Rules in Product Planning -- Introducing Abductive Inference Model
机译:
在产品计划中创建基本假设和规则-引入归纳推理模型
作者:
Nakamura Jun
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
Internet;
inference mechanisms;
product development;
production engineering computing;
strategic planning;
Web-based workplace;
abductive inference model;
business strategy;
data market place;
product development;
product planning;
Business;
Cognition;
Context;
Data models;
Games;
Lighting;
Materials;
abductive inference;
data market place;
generating ideas;
hypothetical reasoning;
78.
Exploring Markets of Data for Personal Health Information
机译:
探索个人健康信息数据市场
作者:
Pickard K. Thomas
会议名称:
《IEEE International Conference on Data Mining Workshops》
|
2014年
关键词:
data analysis;
health care;
medical information systems;
MoDAT;
data analysis;
health care;
health research database;
markets of data;
personal health information;
Bioinformatics;
Companies;
Educational institutions;
Genomics;
Medical services;
Privacy;
Genomics;
Health Information;
Personal Genetic Information;
Personalized Medicine;
Preventive Medicine;
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