Method and system for correlation detection in multiple spatio-temporal datasets for event sensing
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United States of America Patent
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Apr 14, 2020
Grant Date -
Feb 22, 2018
app pub date -
Aug 22, 2016
filing date -
Aug 22, 2016
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Abstract
A method and a system are provided for correlation detection in multiple spatio-temporal datasets for event sensing in a geographical area. The method includes extracting datasets, comprising information about one or more events, from one or more data sources. The method further includes identifying a primary data source and secondary data sources from the one or more data sources. The method further includes extracting primary features from the datasets associated with the primary data source and secondary features from the datasets associated with the secondary data sources. The primary features are categorized into one or more categories. The method further includes training classifiers based on the primary features and/or the one or more categories. The method further includes detecting a correlation among the information associated with the one or more events based on a category transfer distribution from the primary data source to the secondary data sources.
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