Data Mining and Knowledge Management

1. Front Matter

   Pages I-XIII

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2. Keynote Lectures

   1. Visualization-Based Data Mining Tool and Its Web Application

      • Alexander V. Lotov, Alexander A. Kistanov, Alexander D. Zaitsev

      Pages 1-10

   2. Knowledge Management, Habitual Domains, and Innovation Dynamics

      • P. L. Yu, T. C. Lai

      Pages 11-21

   3. Knowledge-Information Circulation Through the Enterprise: Forward to the Roots of Knowledge Management

      • Milan Zeleny

      Pages 22-33

3. Data Mining Methodology

   1. A Hybrid Nonlinear Classifier Based on Generalized Choquet Integrals

      • Zhenyuan Wang, Hai-Feng Guo, Yong Shi, Kwong-Sak Leung

      Pages 34-40

   2. Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization

      • Ning Chen

      Pages 41-50

   3. Solving Discriminant Models Using Interior Point Algorithm

      • Siming Huang, Guoliang Yang, Chao Su

      Pages 51-60

   4. A Method for Solving Optimization Problem in Continuous Space Using Improved Ant Colony Algorithm

      • Ling Chen, Jie Shen, Ling Qin, Jin Fan

      Pages 61-70

4. Practical Issues of Data Mining

   1. Data Set Balancing

      • David L. Olson

      Pages 71-80

   2. Computation of Least Square Estimates Without Matrix Manipulation

      • Yachen Lin, Chung Chen

      Pages 81-89

   3. Ensuring Serializability for Mobile Data Mining on Multimedia Objects

      • Shin Parker, Zhengxin Chen, Eugene Sheng

      Pages 90-98

5. Data Mining for Bioinformatics

   1. “Copasetic Clustering”: Making Sense of Large-Scale Images

      • Karl Fraser, Paul O’Neill, Zidong Wang, Xiaohui Liu

      Pages 99-108

   2. Ranking Gene Regulatory Network Models with Microarray Data and Bayesian Network

      • Hongqiang Li, Mi Zhou, Yan Cui

      Pages 109-118

   3. On Efficiency of Experimental Designs for Single Factor cDNA Microarray Experiments

      • Xiao Yang, Keying Ye

      Pages 119-127

6. Data Mining Applications

   1. Data Mining Approach in Scientific Research Organizations Evaluation Via Clustering

      • Jingli Liu, Jianping Li, Weixuan Xu, Yong Shi

      Pages 128-134

   2. Heuristics to Scenario-Based Capacity Expansion Problem of PWB Assembly Systems

      • Zhongsheng Hua, Liang Liang

      Pages 135-144

   3. A Multiple-Criteria Quadratic Programming Approach to Network Intrusion Detection

      • Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen, Xiaojun Chen

      Pages 145-153

   4. classifications of Credit Cardholder Behavior by Using Multiple Criteria Non-linear Programming

      • Jing He, Yong Shi, Weixuan Xu

      Pages 154-163

   5. Multiple Criteria Linear Programming Data Mining Approach: An Application for Bankruptcy Prediction

      • Wikil Kwak, Yong Shi, John J. Cheh, Heeseok Lee

      Pages 164-173

7. Knowledge Management for Enterprise

   1. Coordination and Cooperation in Manufacturer-Retailer Supply Chains

      • Zhimin Huang, Susan X. Li

      Pages 174-186

criteria linear and nonlinear programming has proven to be a very useful approach. • Knowledge management for enterprise: These papers address various issues related to the application of knowledge management in corporations using various techniques. A particular emphasis here is on coordination and cooperation. • Risk management: Better knowledge management also requires more advanced techniques for risk management, to identify, control, and minimize the impact of uncertain events, as shown in these papers, using fuzzy set theory and other approaches for better risk management. • Integration of data mining and knowledge management: As indicated earlier, the integration of these two research fields is still in the early stage. Nevertheless, as shown in the papers selected in this volume, researchers have endearored to integrate data mining methods such as neural networks with various aspects related to knowledge management, such as decision support systems and expert systems, for better knowledge management. September 2004 Yong Shi Weixuan Xu Zhengxin Chen CASDMKM 2004 Organization Hosted by Institute of Policy and Management at the Chinese Academy of Sciences Graduate School of the Chinese Academy of Sciences International Journal of Information Technology and Decision Making Sponsored by Chinese Academy of Sciences National Natural Science Foundation of China University of Nebraska at Omaha, USA Conference Chairs Weixuan Xu, Chinese Academy of Sciences, China Yong Shi, University of Nebraska at Omaha, USA Advisory Committee

• bioinformatics
• bromedical data analysis classification
• clustering
• data analysis
• data mining
• data visualisation
• enterprise knowledge systems
• knowledge discovery
• knowledge management
• microarray data analysis
• multimedia data mining
• risk analysis

• Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100080, China; College of Information Science and Technology, University of Nebraska at Omaha, Omaha, USA

  Yong Shi

• Institute of Policy & Management, Chinese Academy of Sciences, Beijing, P.R. China

  Weixuan Xu

• College of Information Science and Technology, University of Nebraska at Omaha, USA

  Zhengxin Chen

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