Data Mining and Knowledge Discovery Handbook

✍ Scribed by Oded Maimon, Lior Rokach

Publisher: Springer
Year: 2005
Tongue: English
Leaves: 1378
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This 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 whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The 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 Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

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