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.
Author(s): Leon Shyue-Liang Wang
Series: Premier Reference Source
Edition: First
Publisher: Information Science Reference
Year: 2010
Language: English
Pages: 517
Title
......Page 2
List of Reviewers......Page 5
Table of Contents......Page 7
Detailed Table of Contents......Page 11
Foreword......Page 20
Preface......Page 21
Introduction to the Experimental Design in the Data Mining Tool KEEL......Page 24
Cat Swarm Optimization Supported Data Mining......Page 49
Dynamic Discovery of Fuzzy Functional Dependencies Using Partitions......Page 67
An Intelligent Data Mining System Through Integration of Electromagnetism-Like Mechanism And Fuzzy Neural Network......Page 84
Computational Intelligence-Revisited......Page 108
Artificial Clonal Selection Model and Its Application......Page 123
Risk-Management Models Based on the PortfolioTheory Using Historical Data under Uncertainty......Page 146
Neuro-Fuzzy System Modeling......Page 170
Network Based Fusion of Global and Local Information in Time Series Prediction with The Use of Soft-Computing Techniques......Page 199
Weights Direct Determination of Feedforward Neural Networks without Iterative BP-Training......Page 220
The Hopfield-Tank Neural Network for the Mobile Agent Planning Problem......Page 249
A Novel Neural Fuzzy Network Using a Hybrid Evolutionary Learning Algorithm......Page 273
Power System Load Frequency Control Using Combined Intelligent Techniques......Page 297
Computational Intelligence Clustering for Dynamic Video Watermarking......Page 321
Data Mining Meets Internet and Web Performance......Page 342
Predicting Similarity of Web Services Using WordNet......Page 377
Finding Explicit and Implicit Knowledge: Biomedical Text Data Mining......Page 393
Rainstorm Forecasting By Mining Heterogeneous Remote Sensed Datasets......Page 410
Learning Verifiable Ensembles for Classification Problems with High Safety Requirements......Page 428
Compilation of References......Page 455
About the Contributors......Page 497
Index......Page 507
