Abstract: In order to select data mining services that meet the requirements of users better, this paper uses extension matter-element model to describe data mining service and the requirements of users. By doing extension analysis of data mining service, the similarity degree between candidate data mining service and user required service is calculated. Data mining Quality of Service(QoS) constraint-element of the user is structured. It designs a method to evaluate the similar services and helps the user to choose data mining service which meets the requirement. Experimental results show that the method improves the selection efficientcy.

Key words: data mining service, Quality of Service(QoS), matter-element, selection

摘要： 为更好地选择满足用户要求的数据挖掘服务，运用可拓物元模型描述数据挖掘服务和用户需求。对数据挖掘服务进行可拓分析，计算候选数据挖掘服务与用户需求服务的相似度。构造数据挖掘QoS用户约束元，设计用于评估相似服务的方法，帮助用户选择满足要求的数据挖掘服务。实验结果表明该方法提高了选择效率。

关键词: 数据挖掘服务, 服务质量, 物元, 选择

CLC Number: 

• TP391