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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