Data Mining Technologies and their Applications in Counter-terrorism
This course will first provide an overview of terrorism and the supporting technologies for data mining. Then it will describe details on data mining technologies, techniques, tools and trends. The applications of data mining to combat terrorism including adaptive data mining real-time data mining, social network analysis, semantic web mining and knowledge management for counter-terrorism will be discussed. Finally prototype systems that utilizes data mining for counter-terrorism will be described.
Course Outline:
Part 1: Supporting Technologies
Part II: Terrorism Studies
Part III: Data Mining
Part IV: Details of Data Mining Techniques
Part V: Data Mining for Counter-terrorism
Part VI: Data Mining Application System – Part I
Part VII: Novel Systems – Part II
Dr. Bhavani Thuraisingham is a Professor of Computer Science at the University of Texas at Dallas where she is also the Director of the Cyber Security Research Center in the Erik Jonsson School of Engineering and Computer Science. Prior to joining the university in October 2004, she worked for 24 years in the commercial industry, the MITRE Corporation and the National Science Foundation. Her work in information security and information management has resulted in over 100 journal articles, over 200 refereed conference papers, and three US patents. She is the author of ten books in data management, data mining and data security. She is also a Fellow of IEEE, AAAS and the British Computer Society, and received the IEEE Computer Society’s 1997 technical Achievement Award. Dr. Thuraisingham was educated in the United Kingdom both at the University of Bristol and the University of Wales. She is currently completing a certificate course in Terrorism Studies at St. Andrews University in Scotland.
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