KDnuggets : News : 2002 : n01 : item19    (previous | next)

CFP


From: Gregory

Date: Fri, 21 Dec 2001 15:59:48 +0200

Subject: ICIM-2002: Int. Conf. on Inductive Modelling, deadline Feb 20, 2002

ICIM'2002: First International Conference on INDUCTIVE MODELLING May 20-25, 2002, Lviv, Ukraine

http://www.niss.gov.ua/Center/ICIM/
Submission deadline: February 20, 2002 *********************************************************************

The 1st International Conference on Inductive Modelling (ICIM-2002) will present the latest high-quality results in the growing field of inductive methods in data mining and forecasting, pattern recognition and parallel computing. Inductive modelling is an important area, based on sorting methods of artificial intelligence problems solution. The aim of the Conference is to bring together leading scientists, researchers and experts from different areas, who can make significant contribution to development and better understanding of inductive modelling methods.

Conference topics include, but are not limited to:

  • Principles and theoretical foundations of inductive modelling.
  • Data mining, laws extracting and knowledge discovery.
  • Parallel computing
  • Time series analysis and forecasting.
  • Information and hybrid systems.
  • Neural networks and genetic algorithms.
  • Pattern recognition and clustering.
  • Parametric methods of modelling, machine learning, and
    evolutionary computation.
  • Non-parametric methods: search of analogues, fuzzy logic and
    probabilistic modelling
  • Selection and construction of criteria for model structure optimization.
  • Comparison of different approaches for artificial intelligence problems
    solution.
  • Estimation of inductive methods efficiency in modelling and prediction.
  • Application of inductive approach to solution of AI problems.
OBJECTIVE The aim of Conference is to analyse the current progress in development of inductive approach to artificial intelligence problems solution.

Methods of inductive modelling allow to find automatically models of optimal complexity for real data and therefore can improve the accuracy of AI problems solution. Inductive modelling has objective character and therefore can help to avoid invalid decisions of experts. Inductive approach also considerably enriches existing methods of data mining and knowledge discovery by new possibilities to increase accuracy and lead-time of predictions. Methods of parallel computing are adequate for self-organizing algorithms, allowing to increase considerably the dimensionality of processed data.

Among the highlights of the Conference there will be issues of theory development, algorithms and applications of the Group Method of Data Handling (GMDH) as first realization of inductive idea in modelling. Conference participants will have the opportunity to discuss fundamentals and state of art in inductive modelling, plans for software and hardware development, organization of cooperation, and discuss ways for enhancing of effectiveness of complex systems modelling.

IMPORTANT DATES
Submission deadline 20.02.2002
Acceptance notification 15.03.2002
Sending of invitations 10.04.2002
Conference 20.05.2002

For submission details, and other information, please visit the web site, http://www.niss.gov.ua/Center/ICIM/

Alexey Ivakhnenko, (http://gmdh.come.to), Honorary Chairman, ICIM'2002 International Center of Informational Technologies and Systems Glushkov Cybernetic Center of NASU


KDnuggets : News : 2002 : n01 : item19    (previous | next)

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