Data Mining VI: Data Mining, Text Mining and Their Business Applications

Overview

These proceedings contain most of the papers presented at the May 2005 conference, including original research and practical development, with several describing work in unstructured data. General topics include data mining and text mining, including using a multi-criteria decision-making approach to feature selection for enhancing text categorization and a text algorithm for text mining, neural networks and decision tress, link analysis, clustering and categorization, consumer and strategic intelligence, including a strategy to discern similar interests in a company and thereby improve working conditions, applications in science and engineering, including using a semio-fuzzy approach in clinical data, and applications in business, industry and government, including building e-commerce models for banking and working with insufficient inventory data. The US office of WIT Press is Computational Mechanics. Annotation ©2005 Book News, Inc., Portland, OR