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UID:20260517T193537EDT-4493fudn62@132.216.98.100
DTSTAMP:20260517T233537Z
DESCRIPTION:Join us at theĀ Ā鶹“«Ć½ĶųÕ¾ School of Information Studies (SIS) for a
  SIS Seminar Series talk on data mining and crime investigation with Dr. B
 enjamin Fung.\n\nABSTRACT\n\nData mining has demonstrated a lot of success
  in many domains\, from direct marking to bioinformatics. Yet\, limited re
 search has been conducted to leverage the power of data mining in real-lif
 e crime investigation. In this presentation\, Dr. Fung will discuss two da
 ta mining methods for crime investigation. The first method aims at identi
 fying the true author of anonymous e-mail. The second method is a subject-
 based search engine that can help investigators to retrieve criminal infor
 mation from a large collection of textual documents. If time permits\, an 
 overview will be provided of the ongoing and future research projects in t
 he Data Mining and Security (DMaS) LabĀ based at the School of Information 
 Studies.\n	Ā \n\nBIO\n\nDr. Benjamin Fung is an Associate Professor atĀ the M
 cGill School of Information StudiesĀ (SIS)Ā and a Research Scientist in the 
 National Cyber-Forensics and Training Alliance Canada (NCFTA Canada). He r
 eceived a PhD in computing science from Simon Fraser University in 2007. D
 r. Fung collaborates closely with the national defense\, law enforcement\,
  and healthcare sectors. He has over 70 refereed publications that span ac
 ross 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 rep
 orted by media worldwide. Before pursuing his academic career\, Dr. Fung w
 orked at SAP Business Objects for four years. He is a licensed professiona
 l engineer in software engineering. Website: http://dmas.lab.mcgill.ca/fun
 g\n
DTSTART:20140328T163000Z
DTEND:20140328T180000Z
LOCATION:Room 106\, CA\, School of Information Studies\, 3661 Peel\, Rm. 10
 6\, Montreal
SUMMARY:SIS Seminar Series: 'Applying Data Mining to Real-Life Crime Invest
 igation.' Dr. B. Fung 
URL:/sis/channels/event/sis-seminar-series-applying-da
 ta-mining-real-life-crime-investigation-dr-b-fung-23293
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