Detecting stochastic motifs in network and sequence data for human behavior analysis
With the recent advent of Web 2.0, mobile computing, and pervasive sensing technologies, human activities can readily be logged, leaving digital traces of di.erent forms. For instance, human communication activities recorded in online social networks allow user interactions to be represented as “net...
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Format: | Others |
Language: | English |
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HKBU Institutional Repository
2014
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Online Access: | https://repository.hkbu.edu.hk/etd_oa/60 https://repository.hkbu.edu.hk/cgi/viewcontent.cgi?article=1059&context=etd_oa |