- From: Osmar R. Zaiane <zaiane@cs.ualberta.ca>
- Date: Tue, 3 Mar 2009 15:07:08 -0700
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[Apologies if you receive this more than once] ================================================================= CALL FOR DEMOS ================================================================= KDD-2009: The Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09) Paris, France June 28 - July 1, 2009. http://www.kdd.org/kdd2009/ ================================================================= The annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is the leading forum for data mining researchers and practitioners to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. During the conference a demonstration session will be hosted during which researchers can showcase live demonstrations of their contributions. This demo session is meant to allow researchers and practitioners that have implemented data mining software systems and libraries to describe the design, development and functionality of their work in an interactive setting. The demonstrations need not be limited only to paper presented at KDD but also include other relavant systems demonstrations. The committee encourages submission of new technology and early prototypes but will also consider mature systems with experimental features. Note that the marketing of products must instead be arranged as part of the exhibit program. To participate please email a short proposal to the KDD 2009 Demonstrations Chair, Osmar Zaiane (zaiane at cs DOT ulaberta.ca by April 17th, 2009. Your proposal must describe how the demonstrated system illustrates contributions to the field. It must also include technical specification, references to other literature, and optionally include a URL to screenshots or an online version. Proposals must be no more than four pages long and be in PDF or Word format. The selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. ================================================================= -- & Scientific Director, (o o) Alberta Ingenuity Centre for Machine Learning ____oOO__(_)__OOo__________________________________________________________ Osmar R. ZAIANE, Ph.D. | office: ATH 352 (Athabasca Hall) McCalla Professor (Assoc. Prof) | e-mail: zaiane@cs.ualberta.ca Department of Computing Science | phone : 1-780 492 2860 University of Alberta | fax : 1-780 492 1071 Edmonton, Alberta, T6G 2E8 Canada | http://www.cs.ualberta.ca/~zaiane/ _oooO___________Oooo_______________________________________________________ ( ) ( ) \ ( ) / Consider the environment before printing this email \_) (_/
Received on Tuesday, 3 March 2009 22:09:07 UTC