-------- Original-Nachricht -------- Betreff: Special Session at WCCI2006 Datum: Fri, 03 Feb 2006 07:31:40 -0300 Von: rweber@dii.uchile.cl Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Call for Papers (EXTENDED DEADLINE: FEBRUARY 15TH!!)
Special Session on Computational Intelligence for Dynamic Data Mining
World Congress on Computational Intelligence WCCI 2006 (www.wcci2006.org) Vancouver, BC, Canada July 16-21, 2006
During the last two decades, we have witnessed the rapid development of the technology of data mining along with a plethora of advanced architectures and techniques. There are numerous successful applications that have spurred more interest in the area and fostered the need for further research on methodological issues, algorithms and specialized development platforms. What still remains an open issue, however, is the question how to update the respective systems when new data becomes available. Here, dynamic data mining comes into play by offering a coherent suite of technologies for ?updating? and enhancing functionality of the existing data mining systems.
Such dynamic aspects of systems become highly relevant to all categories of applications of data mining such as e.g. clustering, classification, association and deviation detection, visualization, to name the most representative examples.
Computational Intelligence (CI), in particular neural networks, fuzzy logic, and evolutionary computing forming a coherent conceptual and algorithmic platform, offers evident advantages by supporting understanding, modeling, and experimenting in presence of dynamic aspects of data mining. For instance, neural networks offer superb learning abilities and in this sense become of evident interest when dealing with various facets of pattern updating. Some other aspects of dynamic data mining are related to concept drift and in this case fuzzy logic and fuzzy sets offer an interesting insight into the vagueness of the underlying phenomenon. Genetic optimization helps address various aspects of structural optimization. Evolutionary computing with its inherent adaptation capabilities provides powerful mechanisms for dynamic data mining.
The intent of the special session is to help address the needs for a well balanced methodological development and foster more interaction between different sectors of the research community and share experience on advanced case studies and successful real-world applications.
Topics of interest (not limited to) - The development of specialized computational Intelligence methods for dynamic data mining, considering various categories of applications, e.g. clustering, classification, association and deviation detection, visualization. - The use of well established technology of Computational Intelligence to dynamic data mining - Reports on successful applications and case studies of dynamic data mining to real world problems. In this class of submission we anticipate a comprehensive report on the development, design cycle, comparative analysis and evaluation of the resulting system.
Deadlines Paper submission deadline February 15th, 2006 Accept/revise/reject decisions March 15th, 2006 Revised final manuscript due date: April 15th, 2006
Submission The manuscripts should adhere to the formal guidelines of the Congress, refer to http://www.wcci2006.org
When submitting your paper via the web site www.wcci2006.org the Paper Submission System will ask you for the "Main Research Topic". There you should select from the menu the following item:
Sj. Computational Intelligence for Dynamic Data Mining (Pedrycz, Weber)
Guest Editors: Prof. Dr. Witold Pedrycz Department of Electrical and Computer Engineering University of Alberta, Edmonton, Canada e-mail pedrycz@ee.ualberta.ca
Prof. Dr. Richard Weber Department of Industrial Engineering University of Chile rweber@dii.uchile.cl
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