Workshop of WI-IAT 2013
Optimization-based Data Mining and Web Intelligence
Atlanta, USA
Nov. 17, 2013(http://www.cs.gsu.edu/wic2013/splash)
Outline:
The 2013 IEEE/WIC/ACM International Conference on Web Intelligence (WI13) and the 2013 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-13) will be held in Atlanta, USA, Nov. 17-20, 2013. The two co-located conferences are sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), and ACM-SIGART. During the conference, Chinese Academy of Sciences Research Center on Fictitious Economy & Data Science will hold a workshop focus on Optimization-based Data Mining and Web Intelligence on Nov. 17 2013.
For last ten years, the researchers have extensively applied quadratic programming into classification, known as V. Vapnik’s Support Vector Machine, as well as various applications. However, using optimization techniques to deal with data separation and data analysis goes back to more than thirty years ago. According to O. L. Mangasarian, his group has formulated linear programming as a large margin classifier in 1960’s. In 1970’s, A. Charnes and W.W. Cooper initiated Data Envelopment Analysis where a fractional programming is used to evaluate decision making units, which is economic representative data in a given training dataset. From 1980’s to 1990’s, F. Glover proposed a number of linear programming models to solve discriminant problems with a small sample size of data. Then, since 1998, the organizer and his colleagues extended such a research idea into classification via multiple criteria linear programming (MCLP) and multiple criteria quadratic programming (MQLP), which differs from statistics, decision tree induction, and neural networks. So far, there are more than 100 scholars around the world have been actively working on the field of using optimization techniques to handle data mining and web intelligence problems.
This workshop intends to promote the research interests in the connection of optimization, data mining and web intelligence as well as real-life applications. It calls for papers to the researchers in the above interface fields for their participation in the conference. The workshop welcomes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of Optimization, Data Mining and Web Intelligence related topics including, but not limited to the following:
Association rules by Optimization
Artificial Intelligence and Optimization
Bio-informatics and Optimization
Cluster Analysis by Optimization
Credit Scoring and Data Mining
Web Farming
Web Mining and Optimization
Web Search and Decision Making
Data Mining and Financial Applications
Data Warehouse and Optimization
Decision Support Systems
Information Overload and Optimization
Information Retrieval by Optimization
Intelligent Data Analysis via Optimization
Knowledge Representation Models
Multiple Criteria Decision Making in Data Mining
Optimization and Classification
Optimization and Economic Forecasting
Optimization and Information Intrusion
Visualization and Optimization
Website Design and Development
Wireless Technology and Performancet
Submitted papers will be refereed with the same standards applied by leading international conferences. The main criteria for acceptance are the quality and originality of the contribution, and its relevance to the topics of the workshop.
Important Dates:
July 7, 2013: Due date for full workshop paper submission
July 21, 2013: Paper notification
August 11, 2013: Camera-ready of an accepted paper
November 17, 2013:Workshop
November 18-20, 2013: WI and IAT Conferences
Notes:
(1) The workshop will be part of events of the WI-IAT conferences.
(2) The length of accepted papers should NOT excess 5 pages (IEEE-CS format, extra payment is only available for one more extra page).
(3) We will not have a separate workshop registration fee this year(i.e., one conference registration covers everything).
(4) A workshop paper presentation is 20 minutes including discussion time.
Program committee members:
Co-Organizer:
Yong Shi
College of Information Science and Technology, University of Nebraska at Omaha, NE 68182, USA
E-mail: yshi@unomaha.edu
and
Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science
Beijing 100190, China
E-mail: yshi@ucas.ac.cn
Lingfeng Niu
Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science
Beijing 100190, China
E-mail: niulf@ucas.ac.cn
Members of the Program Committee:
Shingo Aoki
Osaka Prefecture University, Japan
Wanpracha Art Chaovalitwongse
Rutgers, the State University of New Jersey, USA
Masato Koda
University of Tsukuba, Japan
Gang Kou
University of Electronic Science and Technology of China, China
Kin Keung Lai
City University of Hong Kong, Hong Kong, China
Heeseok Lee
Korea Advanced Institute Science and Technology, Korea
David Olson
University of Nebraska at Lincoln, USA
Jiming Peng
University of Illinois at Urbana-Champaign, USA
Yi Peng
University of Electronic Science and Technology of China, China
John Wang
Montclair State University, USA
Shouyang Wang
Chinese Academy of Sciences, China
Xiaobo Yang
Daresbury Laboratory, Warrington, UK
Ning Zhong
Maebashi Institute of Technology, Japan
