[1]文巨峰,朱美琳,邢汉承.面向商务智能应用的分布式数据挖掘系统设计[J].东南大学学报(自然科学版),2005,35(6):858-862.[doi:10.3969/j.issn.1001-0505.2005.06.006]
 Wen Jufeng,Zhu Meilin,Xing Hancheng.Design of business intelligence application oriented distributed data mining system[J].Journal of Southeast University (Natural Science Edition),2005,35(6):858-862.[doi:10.3969/j.issn.1001-0505.2005.06.006]
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面向商务智能应用的分布式数据挖掘系统设计()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第6期
页码:
858-862
栏目:
计算机科学与工程
出版日期:
2005-11-20

文章信息/Info

Title:
Design of business intelligence application oriented distributed data mining system
作者:
文巨峰1 朱美琳2 邢汉承1
1 东南大学计算机科学与工程系, 南京 210096; 2 南京大学工程管理学院, 南京 210093
Author(s):
Wen Jufeng1 Zhu Meilin2 Xing Hancheng1
1 Department of Computer Science and Engineering, Southeast University, Nanjing 210096, China
2 Institute of Engineering and Management, Nanjing University, Nanjing 210093, China
关键词:
商务智能 分布式数据挖掘 Agent
Keywords:
business intelligence distributed data mining Agent
分类号:
TP339
DOI:
10.3969/j.issn.1001-0505.2005.06.006
摘要:
在综合分析商务智能分布式应用环境和数据存储环境基础上,提出了一种充分利用移动Agent移动特性并以Agent为主要组件来满足商务智能应用需要的分布式数据挖掘系统模型,讨论了系统中用户接口、数据挖掘组件、企业数据库系统各功能模块特点以及数据挖掘组件中各Agent功能设计.介绍了在Java编程环境下数据挖掘移动Agent和移动Agent服务器内部各组成模块结构功能.该系统具有可扩展性好、结构灵活、系统安全性强等特点,对构建基于Agent技术的商务智能数据挖掘系统具有一定的参考价值.
Abstract:
Based on synthetically analyzing the distributed application and data-stored environment about a business intelligence system, a business intelligence application oriented distributed data mining system model with Agents as primary components is proposed. The functions of user interface, data mining module, enterprise-applied database system and relevant Agents are discussed. Components of data mining mobile Agent and mobile Agent server in the model are further introduced in Java programming environment. The system is easy to be extended with flexible structure and high security. It is a good reference model to be used to design such a data mining system.

参考文献/References:

[1] Zambonelli F,Jennings N R,Wooldridge M.Developing multiagent systems:the Gaia methodology [J]. ACM Transactions on Software Engineering and Methodology,2003,12(3):317-370.
[2] Han J,Kamber M.Data mining:concepts and techniques[M].San Francisco:Morgan Kaufmann Publishers,2001.3-4.
[3] Chattratichat J,Darlington J,Guo Y,et al.An architecture for distributed enterprise data mining[A].In:Proceedings of the 7th International Conference on High-Performance Computing and Networking[C].London:Springer-Verlag,1999.573-582.
[4] Parthasarathy S,Subramonian R.An interactive resource-aware framework for distributed data mining[A].In: Newsletter of the IEEE Technical Committee on Distributed Processing[C].Piscataway,NJ,2001.24-52.
[5] Zhang Z L,Zhang C Q,Zhang S C.An agent-based hybrid framework for database mining [J].Applied Artificial Intelligence,2003,17:383-398.
[6] Klusch M,Lodi S,Moro G.Agent-based distributed data mining:the KDEC scheme[A].In: Intelligent Information Agents:the Agent Link Perspective,LNAI 2586[C].London:Springer-Verlag,2003.104-122.
[7] Prodromidis A L,Stolfo S J,Tselepis S,et al.Distributed data mining:the JAM system architecture [R].New York:Columbia University,2001.
[8] Kargupta H,Park B H,Hershberger D,et al.Collective data mining:a new perspective toward distributed data analysis [A].In: Advances in Distributed and Parallel Knowledge Discovery[C].Cambridge,MA:AAAI/MIT Press,2000.131-178.
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备注/Memo

备注/Memo:
作者简介: 文巨峰(1973—),男,博士,讲师; 邢汉承(联系人),男,教授,博士生导师,xhc@seu.edu.cn.
更新日期/Last Update: 2005-11-20