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Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbookorganizes 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. Data Mining and Knowledge Discovery Handbookis designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Different models are compared, and possibly combined. In the evaluation phase
models are selected and reviewed according to the business criteria. The whole
Data Mining process is reviewed and a list of possible actions is elaborated.