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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Main Authors: | , , |
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Format: | text |
Language: | English |
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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 |