【24h】

Research of data mining system

机译:数据挖掘系统研究

获取原文

摘要

Combining the current development situation of data mining system, this paper introduces the centralized and distributed data mining system respectively, focuses on the detailed introduce to the various components of the centralized data mining system and its concrete realization technology, and summarizes the current development situation of the centralized and distributed data mining system at the same time respectively, then puts forward the research direction and development trend of the data mining system: to enhance the visualization and interaction, to improve the scalability, follow the single standard combined with a specific industry application and support of data mining of the mobile environment. The development of data mining system has been made into a brief summary and outlook. Data mining, also known as knowledge discovery in database (KDD), is that the process of digging out interesting knowledge from a large amount of data stored in the database, data warehouse or other information. In recent years, to promote the actual application of data mining, many researchers do a lot of research work on the architecture of data mining system. A data mining system with reasonable structure should have the following features: 1) completeness of system function and auxiliary tools; 2) scalability of system; 3) support for multiple data sources; 4) processing capabilities of the large amount of data; 5) good user interface and showing ability of the results. In the current, the data mining system mainly includes centralized and the distributed data mining system, and the specific structure and its various components of each system have a variety of different implementation techniques and methods.
机译:结合数据挖掘系统,介绍了集中式和分布式数据挖掘系统分别侧重于具体的发展现状介绍给集中式数据挖掘系统的各种组件和它的具体实现技术,并总结了目前的发展状况集中式和分布式数据的同时挖掘系统分别,然后提出了数据挖掘系统的研究方向和发展趋势:以增强的可视化和互动,提高了可扩展性,按照统一的标准与特定的行业应用相结合并支持移动环境中的数据挖掘。数据挖掘系统的开发已经被拍成简要总结和展望。数据挖掘,也被称为数据库知识发现(KDD),是从大量存储在数据库中,数据仓库或其他信息数据的挖掘出有趣知识的过程。近年来,为促进数据挖掘的实际应用中,许多学者做了很多研究工作,数据挖掘系统的体系结构。结构合理的数据挖掘系统应具有以下特点:1)系统的功能和辅助工具的完整性; 2)系统的可扩展性; 3)对多个数据源的支持; 4)处理所述大量数据的能力; 5)良好的用户界面和结果的表示能力。在当前,数据挖掘系统主要包括集中和分布式数据挖掘系统,以及具体结构和其每个系统的各种部件具有各种不同的实现技术和方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号