Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook

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

Rokach, Lior
Shmueli, Erez
Maimon, Oded

Hardcover

DatabasesGeneral ComputersSystem Administration

ISBN10: 3031246276
ISBN13: 9783031246272
Publisher: Springer
Published: Aug 18 2023
Pages: 985
Weight: 3.43
Height: 2.06 Width: 6.14 Depth: 9.21
Language: English

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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