Table of Contents

Foreword ...... xix

Preface ...... xx

Section 1 Integrating Soft Computation and Data Mining

Chapter 1 Introduction to the Experimental Design in the Data Mining Tool KEEL ...... 1 J. Alcalá-Fdez, University of Granada, Spain I. Robles, University of Granada, Spain F. Herrera, University of Granada, Spain S. García, University of Jaén, Spain M.J. del Jesus, University of Jaén, Spain L. Sánchez, University of Oviedo, Spain E. Bernadó-Mansilla, University Ramon Llull, Spain A. Peregrín, University of Huelva, Spain S. Ventura, University of Córdoba, Spain

Chapter 2 Cat Swarm Optimization Supported Data Mining ...... 26 Pei-Wei Tsai, National University of Applied Sciences, Jeng-Shyang Pan, National Kaohsiung University of Applied Sciences, Taiwan Bin-Yih Liao, National Kaohsiung University of Applied Sciences, Taiwan Shu-Chuan Chu, Cheng Shiu University, Taiwan Mei-Chiao Lai, Diwan University, Taiwan

Chapter 3 Dynamic Discovery of Fuzzy Functional Dependencies Using Partitions ...... 44 Shyue-Liang Wang, National University of Kaohsiung, Taiwan Ju-Wen Shen, Chunghwa Telecom Co., Ltd., Taiwan Tuzng-Pei Hong, National University of Kaohsiung, Taiwan Chapter 4 An Intelligent Data Mining System Through Integration of Electromagnetism-like Mechanism and Fuzzy Neural Network ...... 61 Peitsang Wu, I-Shou University, Taiwan, R.O.C. Yung-Yao Hung, I-Shou University, Taiwan, R.O.C.

Section 2 Soft Computation

Chapter 5 Computational Intelligence Revisited ...... 85 Yuanyuan Chai, Beijing Jiaotong University, China

Chapter 6 Artificial Clonal Selection Model and Its Application ...... 100 Shangce Gao, University of Toyama, Japan Zheng Tang, University of Toyama, Japan Hiroki Tamura, University of Miyazaki, Japan

Chapter 7 Risk-Management Models Based On the Portfolio Theory Using Historical Data Under Uncertainty ...... 123 Takashi Hasuike, Osaka University, Japan

Chapter 8 Neuro-Fuzzy System Modeling ...... 147 Chen-Sen Ouyang, I-Shou University, Taiwan, R.O.C.

Chapter 9 Network Based Fusion of Global and Local Information in Time Series Prediction with the Use of Soft-Computing Technique ...... 176 Shun-Feng Su, National Taiwan University of Science and Technology, Taiwan Sou-Horng Li, National Taiwan University of Science and Technology, Taiwan

Chapter 10 Weights Direct Determination of Feedforward Neural Networks without Iterative BP-Training ...... 197 Yunong Zhang, Sun Yat-Sen University, China Ning Tan, Sun Yat-Sen University, China Chapter 11 The Hopfield-Tank Neural Network for the Mobile Agent Planning Problem ...... 226 Cha-Hwa Lin, National Sun-Yat Sen University, Taiwan Jin-Fu Wang, National Sun-Yat Sen University, Taiwan

Chapter 12 A Novel Neural Fuzzy Network Using a Hybrid Evolutionary Learning Algorithm ...... 250 Cheng-Jian Lin, National Chin-Yi University of Technology, Taiwan, R.O.C. Cheng-Hung Chen, National Chin-Yi University of Technology, Taiwan, R.O.C.

Chapter 13 Power System Load Frequency Control Using Combined Intelligent Techniques ...... 274 Yannis L. Karnavas, Technological Educational Institution of Crete, Greece

Chapter 14 Computational Intelligence Clustering for Dynamic Video Watermarking ...... 298 Daw-Tung Lin, National Taipei University, Taiwan Guan-Jhih Liao, Chun Hua University, Taiwan

Section 3 Data Mining

Chapter 15 Data Mining Meets Internet and Web Performance ...... 319 Leszek Borzemski, Wrocław University of Technology, Poland

Chapter 16 Predicting Similarity of Web Services Using WordNet ...... 354 Aparna Konduri, University of Akron, USA Chien-Chung Chan, University of Akron, USA

Chapter 17 Finding Explicit and Implicit Knowledge: Biomedical Text Data Mining ...... 370 Kazuhiro Seki, Kobe University, Japan Javed Mostafaz, University of North Carolina at Chapel Hill, USA Kuniaki Uehara, Kobe University, Japan

Chapter 18 Rainstorm Forecasting by Mining Heterogeneous Remote Sensed Datasets ...... 387 Yu-Bin Yang, State Key Laboratory for Novel Software Technology, China Hui Lin, The Chinese University of Hong Kong, Hong Kong Chapter 19 Learning Verifiable Ensembles for Classification Problems with High Safety Requirements ...... 405 Sebastian Nusser, Otto-von-Guericke-University, Germany Clemens Otte, Siemens AG, Germany Werner Hauptmann, Siemens AG, Germany Rudolf Kruse, Otto-von-Guericke-University, Germany

Compilation of References ...... 432

About the Contributors ...... 474

Index ...... 484