Encyclopedia of Machine Learning and Data Mining, 2nd Edition

Encyclopedia of Machine Learning and Data Mining, 2nd Edition Front Cover
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1335 pages

Book Description

This authoritative, expanded and updated second edition of Encyclopedia of and Data Mining provides easy to core for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining.  A paramount work, its 800 entries - about 150 of them newly updated or added - are filled with valuable literature references, providing the reader with a portal to more detailed on any given topic.

Topics for the Encyclopedia of Machine Learning and Data Mining include Learning and , Data Mining, Applications, Text Mining, Statistical Learning, Reinforcement Learning, Pattern Mining, Graph Mining, Relational Mining, Evolutionary Computation, Information , Cloning, and many others.  Topics were selected by a distinguished international advisory board. Each peer-reviewed, highly-structured entry includes a definition, key words, an illustration, applications, a bibliography, and links to related literature.

The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals who employ machine learning and data mining methods in their projects. Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to vital information on the topic.

Book Details

  • Title: Encyclopedia of Machine Learning and Data Mining, 2nd Edition
  • Length: 1335 pages
  • Edition: 2nd ed. 2017
  • Language: English
  • Publisher:
  • Publication Date: 2017-03-15
  • ISBN-10: 148997685X
  • ISBN-13: 9781489976857
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