Speaker: Dr. Benjamin Fung
Title: Applying Data Mining to Real-life Crime Investigation
Data mining has demonstrated a lot of success in many domains, from direct marking to bioinformatics. Yet, limited research has been conducted to leverage the power of data mining in real-life crime investigation. In this presentation, I will discuss two data mining methods for crime investigation. The first method aims at identifying the true author of anonymous e-mail; I will provide a live software demonstration. The second method is a subject-based search engine that can help investigators retrieve criminal and social network information from a large collection of textual documents.
Dr. Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, and an Associate Professor of Information Studies at McGill University. He received a Ph.D. degree in computing science from Simon Fraser University in 2007. Dr. Fung collaborates closely with the national defense, law enforcement, transportation, and healthcare sectors. He has over 80 refereed publications that span across the prestigious research forums of data mining, privacy protection, cyber forensics, services computing, and building engineering. His data mining works in crime investigation and authorship analysis have been reported by media worldwide, including New York Times, BBC, CBC, etc. Before pursuing his academic career, he worked at SAP for four years. He is a licensed professional engineer in software engineering. See his research website http://dmas.lab.mcgill.ca/fung for more information.