Classification and Clustering for Knowledge Discovery (Studies in Computational Intelligence (4))

knowledge Discovery Today Is A Significant Study And Research Area. In Finding Answers To Many Research Questions In This Area, The Ultimate Hope Is That Knowledge Can Be Extracted From Various Forms Of Data Around Us. This Book Covers Recent Advances In Unsupervised And Supervised Data Analysis Methods In Computational Intelligence For Knowledge Discovery. In Its First Part The Book Provides A Collection Of Recent Research On Distributed Clustering, Self Organizing Maps And Their Recent Extensions. If Labeled Data Or Data With Known Associations Are Available, We May Be Able To Use Supervised Data Analysis Methods, Such As Classifying Neural Networks, Fuzzy Rule-based Classifiers, And Decision Trees. Therefore This Book Presents A Collection Of Important Methods Of Supervised Data Analysis. Classification And Clustering For Knowledge Discovery Also Includes Variety Of Applications Of Knowledge Discovery In Health, Safety, Commerce, Mechatronics, Sensor Networks, And Telecommunications. The Many Faces of a Kohonen Map A Case Study: SOM-based Clustering for On-Line Fraud Behavior Classification....Pages 1-13 Profiling Network Applications with Fuzzy C-means and Self-Organizing Maps....Pages 15-27 Monitoring Shift and Movement in Data using Dynamic Feature Maps....Pages 29-41 Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map....Pages 43-60 D-GridMST: Clustering Large Distributed Spatial Databases....Pages 61-72 A Probabilistic Approach to Mining Fuzzy Frequent Patterns....Pages 73-89 Identifying Interesting Patterns in Multidatabases....Pages 91-112 Comparison Between Five Classifiers for Automatic Scoring of Human Sleep Recordings....Pages 113-127 Prioritized Fuzzy Information Fusion for Handling Multi-Criteria Fuzzy Decision-Making Problems....Pages 129-145 Using Boosting Techniques to Improve the Performance of Fuzzy Classification Systems....Pages 147-157 P-Expert: Implementation and Deployment of Large Scale Fuzzy Expert Advisory System....Pages 159-173 Data Mining and User Profiling for an E-Commerce System....Pages 175-189 Soft Computing Models for Network Intrusion Detection Systems....Pages 191-207 Use of Fuzzy Feature Descriptions to Recognize Handwritten Alphanumeric Characters....Pages 209-232 Soft Computing Paradigms for Web Access Pattern Analysis....Pages 233-250 Discovery of Fuzzy Multiple-Level Web Browsing Patterns....Pages 251-266 Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System....Pages 267-282 A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grouping for Acute Healthcare in Australia....Pages 283-303 Data Mining of Missing Persons Data....Pages 305-314 Centralised Strategies for Cluster Formation in Sensor Networks....Pages 315-331 Adaptive Fuzzy Zone Routing for Wireless Ad Hoc Networks....Pages 333-347 A New Approach to Building Fuzzy Classifications in Sociological Research with Survey Data....Pages 349-356 Annotation This book was written from an engineer's perspective of the mind. So far, although quite a large amount of literature on the topic of the mind has appeared from various disciplines; in this research monograph, the author tried to draw a picture of the holistic model of an artificial mind system and its behaviour, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired / motivated from many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing. The intention is then to expose the reader to a broad spectrum of interesting areas in general brain science / mind-oriented studies Annotation This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results

This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.

"This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications."--Résumé de l'éditeur "This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications."--BOOK JACKET