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portada Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
Type
Physical Book
Publisher
Author
Language
English
Pages
985
Format
Hardcover
Dimensions
23.4x15.6x5.2 cm
Weight
1.56 kg.
ISBN13
9783031246272
Edition No.
0003
Categories

Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook

Rokach, Lior ; Maimon, Oded ; Shmueli, Erez (Author) · Springer · Hardcover

Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook - Rokach, Lior ; Maimon, Oded ; Shmueli, Erez

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Synopsis "Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook"

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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The binding of this edition is Hardcover.

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