Multi-layer data integration technique for combining heterogeneous crime data

作者：

Highlights：

• Novel multi-layer data integration technique for combining crime datasets.

• Robust system addresses data fragmentation issues prevalent in human trafficking data.

• New dataset of crimes related to human and drug trafficking for further research.

• Case study showing spatio-temporal link between drug and human trafficking crimes.

摘要

•Novel multi-layer data integration technique for combining crime datasets.•Robust system addresses data fragmentation issues prevalent in human trafficking data.•New dataset of crimes related to human and drug trafficking for further research.•Case study showing spatio-temporal link between drug and human trafficking crimes.

论文关键词：Entity resolution,Data integration,Trafficking crimes,XGBoost,Binary classification,Natural language processing

论文评审过程：Received 30 September 2021, Revised 22 December 2021, Accepted 17 January 2022, Available online 14 February 2022, Version of Record 14 February 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102879