Spatiotemporal Frequent Pattern Mining : A Case Study inCrime Pattern Analysis
碩士 === 國立成功大學 === 資訊工程學系 === 102 === Spatiotemporal pattern mining tried to discover unknown, potentially interesting and useful event sequences where events occur within a specific time interval and locate geographic close to each others. Previous works use partition or ill-defined representation o...
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| Format: | Others |
| Language: | en_US |
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2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/hq49vv |
| Summary: | 碩士 === 國立成功大學 === 資訊工程學系 === 102 === Spatiotemporal pattern mining tried to discover unknown, potentially interesting and useful event sequences where events occur within a specific time interval and locate geographic close to each others. Previous works use partition or ill-defined representation of spatial objects and neglect some spatial properties exist in original spatiotemporal data. Moreover, traditional sequential pattern mining methods don't suit the non-transactional spatialtemporal database. In this paper we expose the disappearance of spatial correlation due to improper data representation and propose a naive approach to mine frequent sequential spatiotemporal pattern. The end of the paper is a case study of crime pattern analysis.
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