Efficient spatio-temporal data mining wi
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Howard J. Hamilton; Liqiang Geng; Leah Findlater; Dee Jay Randall
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Article
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2006
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Elsevier Science
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English
β 551 KB
We describe a method for spatio-temporal data mining based on GenSpace graphs. Using familiar calendar and geographical concepts, such as workdays, weeks, climatic regions, and countries, spatio-temporal data can be aggregated into summaries in many ways. We automatically search for a summary with a