Soft Computing Applications for Database Technologies: Techniques and Issues

Visitors to the velvet underground of computing are apt to encounter fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks, rough sets, and other methodologies of uncertainty. Computer scientists, software engineers, and related professionals explain how they are used in database technologies. Their topics include evolutionary algorithms in the supervision of error-free control, soft computing techniques in spatial databases, fuzzy decision rule construction using fuzzy decision trees and its application to electronic-learning databases, opportunities for database technologies in a Bayesian belief network methodology for modeling social systems in virtual communities, checking integrity constraints in a distributed database, soft computing techniques in content-based multimedia information retrieval, feature selection and variable precision rough set analysis and its application to financial data, a human-machine interface design to control an intelligent rehabilitation robot system, and congestion control using soft computing. Annotation c2010 Book News, Inc., Portland, OR (booknews.com)