作者: Patricia L. Brantingham , Martin Ester , Richard Frank , Uwe Glässer , Mohammad A. Tayebi
DOI: 10.1007/978-3-7091-0388-3_6
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摘要: We propose here a computational framework for co-offending network mining defined in terms of process that combines formal data modeling with large crime and terrorism sets as gathered maintained by law enforcement intelligence agencies. Our analysis aims at exploring relevant properties criminal networks arrest-data is based on 5 years real-world was made available research purposes. This retrieved from database system several million records keeping information the regions Province British Columbia. Beyond application innovative techniques set, we also provide comprehensive model applicable to any such set link techniques. contend central aspects considered work presented carry over wide range studied security informatics better serve