BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann
Stock photo: cover may vary

Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) Paperback - 2016 - 4th Edition

by Hall, Mark A.,Witten, Ian H.,Pal, Christopher J.,Frank, Eibe

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Morgan Kaufmann, 12/1/2016 12:00:01 A. paperback. Good. 1.4600 in x 9.2100 in x 7.5200 in.
Ask the seller a question Add to wish list
A$11.74
A$5.84 Delivery within USA
Standard delivery: 2 to 8 days
More delivery options
Ships from Evergreen Goodwill (Washington, United States)

Details

  • Title Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
  • Author Hall, Mark A.,Witten, Ian H.,Pal, Christopher J.,Frank, Eibe
  • Binding Paperback
  • Edition number 4th
  • Edition 4
  • Condition Used - Good
  • Pages 654
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann
  • Publication date 12/1/2016 12:00:01 A
  • Bookseller's Inventory # mon0000672143
  • ISBN 9780128042915 / 0128042915
  • Weight 2.84 lbs (1.29 kg)
  • Dimensions 9.25 x 7.5 x 1.1 in (23.50 x 19.05 x 2.79 cm)
  • Size 1.4600 in x 9.2100 in x 7.5200 i
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2016948470
  • Quantity available 1

About Evergreen Goodwill Washington, United States

Biblio member since 2025

Evergreen Goodwill helps people get jobs across Northwest Washington by offering high-quality free job training, education and job placement..

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Evergreen Goodwill

Reader reviews for Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

From the publisher

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.

Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.

Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.

It contains

  • Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
  • Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
  • Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
tracking-