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Springer Machine Learning and Knowledge Discovery in Databases, Part II (English, Special Edition, Dimitrios Gunopulos | Thomas Hofmann | Donato Malerba)

by Dimitrios Gunopulos | Thomas Hofmann | Donato Malerba

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Book Details

Author
Dimitrios Gunopulos | Thomas Hofmann | Donato Malerba
Publisher
Springer
Language
English
ISBN-13
9783642237829
Format
Special Edition
BISAC
Artificial Intelligence - General

About the Book

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related…

Why You Should Read This Book

  • Written by acclaimed author Dimitrios Gunopulos | Thomas Hofmann | Donato Malerba
  • Published by Springer, a respected name in academic and professional publishing
  • Covers the domain of Artificial Intelligence / General with depth and clarity
  • Available in English — ideal for students, researchers, and professionals alike
  • A trusted reference work that belongs on every serious reader's shelf

Product Details

This Special Edition of Machine Learning and Knowledge Discovery in Databases, Part II is published by Springer and carries ISBN-13 9783642237829. Packaged securely for delivery across India, this edition is ideal for personal libraries, classroom use, and professional reference.

Who Is This Book For?

Whether you are a student preparing for advanced coursework, a researcher deepening your expertise, or a professional staying current with the field, Machine Learning and Knowledge Discovery in Databases, Part II by Dimitrios Gunopulos | Thomas Hofmann | Donato Malerba is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery available across India.

ISBN-13: 9783642237829

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Product ID: isbn-9783642237829