Research Colloquium: Osmar Zaïane, "Information Network Analysis: Applications and Challenges", Nov. 14, 3:30 pm, CL 410 (Expired)

Information Network Analysis: Applications and Challenges

Osmar R. Zaïane, Professor at the University of Alberta

November 14, 2011, 3:30 pm, CL 410



Conventional data is typically considered as a collection of independent observations identically distributed in the space of possible attribute values.  In reality data are packed-full with all sorts of relationships themselves maintaining their own attribute values. For instance, in a database of books, these books are considered independent and when querying this database or recommending a book only the attribute values are taken into account. Yet, there are various relationships between books that could be considered such as co-authorship, friendship of readers, etc. These relationships have significant influence thus should be reflected upon in data analysis. Much data is nowadays in this form of networked entities such as in biology, criminology, sociology, marketing, finance, etc. Studying information networks is also known as social network analysis.  Social network analysis is a field of study attempting to understand and measure relationships between entities in networked information.  We introduce social network analysis, illustrate some practical examples drawn from different application domains, examine some work done in this area, and present relevant challenges.




Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, and Scientific Director of the Alberta Ingenuity Centre for Machinre Learning (AICML). Dr. Zaïane joined the University of Alberta in July of 1999. He obtained a Master's degree in Electronics at the University of Paris, France, in 1989 and a Master's degree in Computer Science at Laval University, Canada, in 1992. He obtained his Ph.D. from Simon Fraser University, Canada, in 1999 under the supervision of Dr. Jiawei Han. His Ph.D. thesis work focused on web mining and multimedia data mining. He has research interests in novel data mining algorithms, web mining, text mining, image mining, social network analysis, and information retrieval. He has published more than 140 papers in refereed international conferences and journals, and taught on all six continents. Osmar Zaïane is the Secretary-Treasurer of the ACM SIGKDD (Special Interest Group on Data Mining) and treasurer of ACM SIGHIT (Special Interest group on Health Informatics). He was the Associate Editor ther Editor-inChief of the ACM SIGKDD Explorations from 2003 to 2010. He is also Associate Editor of the Knowledge and Information Systems, An International Journal, by Springer, and of the journal Data Mining and Knowledge Discovery by Springer, as well as the International Journal of Internet Technology and Secured Transactions He is the General Chair of the IEEE International Conference on Data Mining ICDM 2011. Osmar Zaïane received the ICDM Outstanding Service Award in 2009 and the 2010 ACM SIGKDD Service Award.


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