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Spatially Embedded Co-offence Prediction Using Supervised Learning

Published on Oct 07, 20142041 Views

Mohammad A. Tayebi

Crime reduction and prevention strategies are essential to increase public safety and reduce the crime costs to society. Law enforcement agencies have long realized the importance of analyzing co-offe

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Data MiningKnowledge Extraction

Chapter list

Spatially Embedded Co-offence Prediction Using Supervised Learning00:00
Crime00:14
Predictive Policing01:07
Co-offending Networks 01:30
Co-offence Prediction Problem02:15
Co-offence Prediction03:07
Geographic and Network Proximity04:00
Common Activity Space04:58
Criminal Cooperation Opportunities06:17
Reducing Class Imbalance Ratio09:11
Prediction Features09:38
Prediction Features10:07
British Columbia Crime Data 10:30
Experimental Design11:15
Single Feature Significance11:40
Prediction Evaluation11:50
Prediction Strength12:43
Conclusion13:09
Quote13:41
Thanks!13:48