Soft computing applications for database technologies techniques and issues
Title:
Soft computing applications for database technologies techniques and issues
Author:
Anbumani, K.
ISBN:
9781605668154
Publication Information:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2010.
Physical Description:
electronic texts (289 p. : ill.) : digital files.
Contents:
Fuzzy Database Modeling / Angélica Urrutia, José Galindo -- A Quick Presentation of Evolutionary Computation / Pierre Collet -- Evolutionary Algorithms in Supervision of Error-Free Control / Bohumil Sulc, David Klimanek -- Soft Computing Techniques in Spatial Databases / Markus Schneider -- Type-2 Fuzzy Interface for Artificial Neural Network / Priti Sajja -- A Combined GA-Fuzzy Classification System for Mining Gene Expression Databases / Gerald Schaefer, Tomoharu Nakashima -- Fuzzy Decision Rule Construction Using Fuzzy Decision Trees / Malcolm Beynon, Paul Jones -- A Bayesian Belief Network Methodology for Modeling Social Systems in Virtual Communities / Ben Daniel, Juan-Diego Zapata-Rivera, Gordon McCalla -- Integrity Constraints Checking in a Distributed Database / Hamidah Ibrahim -- Soft Computing Techniques in Content-Based Multimedia Information Retrieval / G. Castellano, A. Fanelli, M. Torsello -- An Exposition of Feature Selection and Variable Precision Rough Set Analysis / Malcolm Beynon, Benjamin Griffiths -- Interconnecting a Class of Machine Learning Algorithms with Logical Commonsense Reasoning Operations / Xenia Nadenova -- A Human-Machine Interface Design to Control an Intelligent Rehabilitation Robot System / Erhan Akdogan ... [et al.] -- Congestion Control Using Soft Computing / T. Revathi, K. Muneeswaran.
Abstract:
The digital revolution and the explosive growth of the internet have helped the collection of huge amounts of useful data of diverse characteristics, which is a valuable and intangible asset in any business of today. This book treats the new, emerging discipline of soft computing, which exploits this data through tolerance for imprecision and uncertainty to achieve solutions for complex problems. Soft computing methodologies include fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks and rough sets, which are explored in detail through case studies and in-depth research. The advent of soft computing marks a significant paradigm shift in computing, with a wide range of applications and techniques which are presented and discussed in the chapters of this book.
Added Corporate Author:
Electronic Access:
Chapter PDFs via platform: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-814-7