关键词: 网格计算, 数据挖掘, 动态配置, 工作流, 运行监控

Abstract: The field of data mining now confronts a common problem that data mining tasks are time-consuming in that these tasks have to process large-scale datasets. Grid computing focuses on integrating distributed， heterogeneous and idle computers from the Internet to be a service system with high performance. Thus， it is possible to take advantage of grid computing to provide high performance computation capability to effectively reduce task durations. Here， DMGrid， a grid handling data mining applications， has been successfully developed. In DMGrid， it not only considers efficient parallel computing as a crucial aspect， but also takes into account dynamic resource configuration. Unlike many existing data mining grids， DMGrid also provides an engine to execute the algorithm flow specified in an application. Moreover， it offers application of execution monitoring. At last， the feasibility of DMGrid is validated by performing experiments， and two applications are designed： Customer churning analysis and customer value analysis.

Key words: grid computing, data mining, dynamic configuration, data flow, execution monitoring