Data Mining and Knowledge Discovery Handbook
Publication year: 2005
ISBN: 978-0-387-25465-4
Internet Resource: Please Login to download book
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
Subject: Computer Science, Bayesian networks, KAP_D018, KDD, KLT, KLTcatalog, algorithm, currentjm, data mining, data mining applications, decision trees, ensemble method, knowledge discovery, large datasets, preprocessing method, soft computing method, statistical method, text min
