Data mining is an interdisciplinary field dealing with the discovery of hidden data and unexpected patterns and rules in large databases. In this book, containing the proceedings of the second International Conference on Data Mining, researchers and applications developers from academia and industry present research and practical experiences in the diverse areas which make up data mining. They include computer experts, statisticians, knowledge acquisition specialists, data analysts, IT consultants, data visualization experts as well as users and developers. Topics covered include: applications of data mining in science, engineering, business, industry and medicine; Internet applications; fraud detection and prevention; software; neural networks and decision trees; parallel and distributed techniques; and case studies.
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..".a much-needed collection of papers that explores the issues involved with and the possible applications of various techniques to improve the process of data mining." Information Resources Management Journal
The science of data mining aims to extract explicit and comprehensive knowledge currently hidden in databases, replacing amassments of data with shorter series of rules. This collection of papers from the July 2000 conference discusses some of the many employments of data mining, from the increasingly common use as a business tool for targeting pot
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