Wang L.S.-L., Hong T.P. (eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies

Information Science Reference, 2010. — 517 p. — ISBN: 978-1-61520-757-2.As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies is a compendium that addresses this need. It integrates contrasting techniques of conventional hard computing and soft computing to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution. This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities, forming a foundation for the development of the field.Integrating Soft Computation and Data Mining
J. Alcala-Fdez, I. Robles, F. Herrera, S. Garcia, M.J. del Jesus, L. Sanchez, E. Bernado-Mansilla, A. Peregrin, S. Ventura
Introduction to the Experimental Design in the Data Mining Tool KEEL
Pei-Wei Tsai, Jeng-Shyang Pan, Bin-Yih Liao, Shu-Chuan Chu, Mei-Chiao Lai
Cat Swarm Optimization Supported Data Mining
Shyue-Liang Wang, Ju-Wen Shen, Tuzng-Pei Hong
Dynamic Discovery of Fuzzy Functional Dependencies Using Partitions
Peitsang Wu, Yung-Yao Hung
Ail Intelligent Data Mining System Through Integration of Electromagnetism-like Mechanism and Fuzzy Neural Network
Soft Computation
Yuanyuan Choi
Computational Intelligence Revisited
Shangce Gao, Zheng Tang, Hiroki Tamura
Artificial Clonal Selection Model and Its Application
Takashi Hasuike
Risk-Management Models Based On the Portfolio Theory Using Historical Data Under Uncertainty
Chen-Sen Ouyang
Neuro-Fuzzy System Modeling
Shun-Feng Su, Sou-Horng Li
Network Based Fusion of Global and Local Information in Time Series Prediction with the Use of Soft-Computing Technique
Yunong Zhang, Ning Tan
Weights Direct Determination of Feedforward Neural Networks without Iterative BP-Training
Cha-Hwa Lin, Jin-Fu Wang
The Hopfield-Tank Neural Network for the Mobile Agent Planning Problem
Cheng-Jian Lin, Cheng-Hung Chen
A Novel Neural Fuzzy Network Using a Hybrid Evolutionary Learning Algorithm
Yannis L. Karnavas
Power System Load Frequency Control Using Combined Intelligent Techniques
Daw-Tung Lin, Guan-Jhih Liao
Computational Intelligence Clustering for Dynamic Video Watermarking
Data Mining
Leszek Borzemski
Data Mining Meets Internet and Web Performance
Aparna Konduri, Chien-Chung Chan
Predicting Similarity of Web Services Using WordNet
Kazuhiro Seki, Javed Mostafaz, Kuniaki Uehara
Finding Explicit and Implicit Knowledge: Biomedical Text Data Mining
Yu-Bin Yang, Hui Lin
Rainstorm Forecasting by Mining Heterogeneous Remote Sensed Datasets
Sebastian Nusser, Clemens Otte, Werner Hauptmann, Rudolf Kruse
Learning Verifiable Ensembles for Classification Problems with High Safety Requirements
Compilation of References
About the Contributors