CFP: II International Conference on Inductive Modelling, ICIM-2008
Inductive Modelling Conference
CONFERENCE ANNOUNCEMENT and CALL FOR PAPERS
II International Conference on INDUCTIVE MODELLING
ICIM'2008
September 15-19, 2008
Kiev, Ukraine
http://icim2008.org
Papers Due: 10 August 2008
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The II International Conference on Inductive Modelling (ICIM-2008)
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
Extended abstracts submissions 15.07.2008
Acceptance notification 1.08.2008
Camera ready papers submission 10.08.2008
Conference 15.09.2008
HOW TO SUBMIT A PAPER TO THE ICIM CONFERENCE
Papers must be submitted electronically via the ICIM'2008 Submission
portal http://icim2008.org/submit
in two steps: 1) extended abstracts (up to an A4 page) submission,
and 2) camera-ready manuscript submission.
We encourage authors to present position papers on practical studies
and experiments, critique of existing works, emerging issues, and
novel ideas under development. Manuscripts will be limited to 4 pages
including all figures, tables, and references. The format of
submitted papers must follow the proceedings guidelines on
http://www.icim2008.org/submission.php
Accepted papers will be published in the Conference proceedings.
Authors of selected papers will be invited to extend their
contribution for the book “Inductive Modelling: GMDH-based learning
algorithms”.
For the latest information, please visit the web site,
http://icim2008.org
Apologies if you receive this invitation more than once.
--
Gregory Ivahnenko, (http://www.GMDH.net), ICIM'2008
Organizing Committee