Workshop of WI-IAT 2012 Optimization-based Data Mining and Web Intelligence The 2012 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Macau, China 4-7 December, 2012 (http://www.fst.umac.mo/wic2012/) Outline: 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 25, 2012: Due date for full workshop paper submission August 05, 2012: Paper notification August 31, 2012: Camera-ready of an accepted paper December 4, 2012: Workshop December 5-7, 2012; Conferences Notes: (1) The workshop will be part of events of the WI-IAT conferences. (2) The format of camera ready submissions should follow the same as the main technical conference. The length of accepted papers should NOT excess 5 pages (IEEE-CS format, extra payment is only available for one more extra page). (3) 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 100080, China E-mail: yshi@gucas.ac.cn Lingfeng Niu Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science Beijing 100080, China E-mail: niulfster@gmail.com 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
