2004 | OriginalPaper | Buchkapitel
Efficient Group Pattern Mining Using Data Summarization
verfasst von : Yida Wang, Ee-Peng Lim, San-Yih Hwang
Erschienen in: Database Systems for Advanced Applications
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In group pattern mining, we discover group patterns from a given user movement database based on their spatio-temporal distances. When both the number of users and the logging duration are large, group pattern mining algorithms become very inefficient. In this paper, we therefore propose a spherical location summarization method to reduce the overhead of mining valid 2-groups. In our experiments, we show that our group mining algorithm using summarized data may require much less execution time than that using non-summarized data.