![Data Skeptic artwork](https://is1-ssl.mzstatic.com/image/thumb/Podcasts123/v4/1a/51/26/1a5126d2-8440-2474-596f-d661d9225948/mza_4103906249132216941.jpg/100x100bb.jpg)
Early Identification of Violent Criminal Gang Members
Data Skeptic
English - April 15, 2016 15:00 - 27 minutes - 24.8 MB - ★★★★★ - 480 ratingsScience Technology machinelearning science datamining datascience skepticism statistics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: [MINI] Fractional Factorial Design
Next Episode: [MINI] Auto-correlative functions and correlograms
This week I spoke with Elham Shaabani and Paulo Shakarian (@PauloShakASU) about their recent paper Early Identification of Violent Criminal Gang Members (also available onarXiv). In this paper, they use social network analysis techniques and machine learning to provide early detection of known criminal offenders who are in a high risk group for committing violent crimes in the future. Their techniques outperform existing techniques used by the police. Elham and Paulo are part of the Cyber-Socio Intelligent Systems (CySIS) Lab.