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Situation-Aware Deep Reinforcement Learning Link Prediction Model For Evolving Criminal Networks PDF

10 Pages·2022·English
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by ['Magin Edgard Madrid Castillo']| 2022| 10 pages| English

About Situation-Aware Deep Reinforcement Learning Link Prediction Model For Evolving Criminal Networks

This document proposes a deep reinforcement learning model called FDRL-CNA to predict links in criminal networks. FDRL-CNA incorporates metadata like arrest records alongside a time-evolving criminal network dataset. It is compared to a baseline TDRL-CNA model that does not include metadata fusion. Experimental results show FDRL-CNA has higher predictive accuracy for new and recurrent links, demonstrating the benefit of combining network structure data with external metadata for link prediction in criminal networks.

Detailed Information

Author:['Magin Edgard Madrid Castillo']
Publication Year:2022
Pages:10
Language:English
Format:PDF
Price:FREE
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