Density-based co-location pattern discovery
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United States of America Patent
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Dec 4, 2012
Grant Date -
Dec 31, 2009
app pub date -
Jun 25, 2008
filing date -
Jun 25, 2008
priority date (Note) -
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Abstract
Described is using density to efficiently mine co-location patterns, such as closely located businesses frequently found together in business listing databases, geographic search logs, and/or GPS-based data. A data space of such information is geographically partitioned into a grid of cells, with dense cells scanned first. A dynamic upper bound of prevalence measure of co-location patterns is maintained during the scanning process. If the current upper bound is smaller than a threshold, the scanning is stopped, thereby significantly reducing the computation cost for processing many cells, while providing suitable results.
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