分布式数据挖掘在电力客户系统中的应用  

Application of Distributed Data Mining Techniques in Customer System of Electric Power Enterprises

作　　者：杨滋荣[1] 陈建中[1] 文静华[1] 田建强[2] 

机构地区：[1]贵州财经学院信息学院,贵阳550004 [2]贵州省电力公司信息中心,贵阳550002

出　　处：《电力系统及其自动化学报》2007年第4期23-27,共5页Proceedings of the CSU-EPSA

基　　金：贵州省科学技术基金资助项目(20052111);贵州财经学院青年资助项目

摘　　要：针对电力客户系统分布式数据库的结构特点,引入一种基于软代理的并行/分布式数据挖掘(parallel data mining agents,PADMA)体系结构,应用软代理实现对局部数据的存取和分析。在此基础上应用(context-based meta-learning,CML)数据挖掘实现算法,处理分布式数据库中部分数据存在异质性的挖掘问题,并提出一种基于电力客户服务系统的分布式数据挖掘体系结构及实现的新方法。According to the structure characteristics of distributed database in customer service system of electric power enterprises ,a parallel distributed data mining agents（PADMA）system based on software agent is introduced in the paper,and the access of local data as well as its analysis is completed by the software agent technology. A context based on meta-learning （CML） method and a further developed method for distributed data mining based on customer service system are both applied in solving the problem of heterogeneity existed in partial data of distributed database in customer service system.

关 键 词：分布式数据挖掘 客户服务系统 体系结构 算法 

分 类 号：TP311.131.1[自动化与计算机技术—计算机软件与理论]