User-Centered Interactive Data Mining

摘要：

While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User views, preferences, strategies and judgements play the most important roles in human-machine interactivities, guide the selection of target knowledge representations, operations, and measurements. Practically, user views, preferences and judgements also decide strategies of abnormal situation handling, and explanations of mined patterns. In this paper, we discuss these fundamental issues.

作者: Yan Zhao Yaohua Chen Yiyu Yao

作者单位: Department of Computer Science, University of Regina Regina, Saskatchewan, Canada S4S OA2

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 457-466

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）