Efficient group pattern mining using data summarization

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...

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Bibliographic Details
Main Authors: WANG, Yida, LIM, Ee Peng, HWANG, San-Yih
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/1030
https://ink.library.smu.edu.sg/context/sis_research/article/2029/viewcontent/Wang2004_Chapter_EfficientGroupPatternMiningUsi.pdf
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Institution: Singapore Management University
Language: English
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