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Workshop on Extension Data Mining and Decision Making
2008-03-06 09:27   审核人:

Workshop Chairs: Prof.WenweiChen, Prof.ChunyanYang and Dr.XingsenLi,Dr.BaiqingSun

The rapid development of data technology, as exemplified by data mining and Internet growth, creates a large knowledge overload environment for the business community. The amount of knowledge is huge, but not all the knowledge can be used well in applications, for it is rough knowledge with impurity in it, not all these rules are useful. At the same time, the useful knowledge will also become un-useful as time goes by. With the increase in volume of available knowledge, the ways to put that knowledge to practical use have also drastically changed. The increase in knowledge from data mining is just making the knowledge management process more complex. How to manage this kind of knowledge is an urgent problem and is a bottleneck of data mining application.

Extension Theory, which was established in 1983 by Prof.WenCaiin China , is a discipline which studies the extensibility of things, the laws and methods of exploitation and the innovation to solve all kinds of contradiction problems in real world with formalized models. Extension theory establishes matter-element, affair-element and relation-element to describe matter, affair and relations. And then put forward a series of transformation methods and functions to solve contradiction problems.

This workshop first proposes a discussion on knowledge utilization technique and new data mining methods with Extension theory. Owing to the importance of applications of this area, combined with business intelligence and wisdom system, Data mining based on extension theory will attract great attention in the near future.

This workshop aims at gathering data mining researchers to demonstrate their recent research results on knowledge utilization in all the area. Papers that address knowledge utilization techniques, systems and applications are welcome. We also encourage position and on-going research papers. The workshop welcomes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of above related topics including, but not limited to the following:

New data mining methods by Extension theory or Optimization

Information collection and Optimization

Knowledge utilization and Optimization

Decision making by knowledge from data mining

Applications on Data Mining or knowledge management

Web Mining and Extension theory

Problem solving theory and methods

Complex system modeling and simulation

Authors should submit their paper via email:extenics@vip.163.com, extenics2003@gdut.edu.cn.All manuscripts for this special issue should be submitted electronically before December 15, 2008. Some important dates:

Full papers submission: December 15, 2008

Notification of workshop acceptance: January 1, 2009

Camera-ready of accepted workshop papers: January 31, 2009

Final advanced registration of workshop opens: January 31, 2009

Workshop papers will be published in a separate workshop proceeding inLecture Notes in Economics and Mathematical Systems.Selected papers will be fast-track reviewed for special issues in:

Journal of Multi Criteria Decision Analysis

International Journal of Computational Science

International Journal of Intelligent Engineering Informatics

Decision Support Systems(SCI-indexed),

Annals of Operations Research(SCI-indexed)

International Journal of Information Technology and Decision Making(SCI-indexed).

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Refereeing and the selection of papers will be carried out according to the standards of Lecture Notes in Economics and Mathematical Systems(http://www.mcdm2009.cn/default.html). Please, note that papers must not exceed eight pages in length; a paper without figures can be around 4500 words maximally

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