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Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook

Lior Rokach, Oded Maimon, Oded Z. Maimon — 2005
Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.
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