Skip to main content

Save up to 30% on Elsevier print and eBooks with free shipping. No promo code needed.

Save up to 30% on print and eBooks.

Data Mining

Practical Machine Learning Tools and Techniques

4th Edition - October 1, 2016

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

Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 0 4 2 9 1 - 5
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 0 4 3 5 7 - 8

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying… Read more

Data Mining

Purchase options

LIMITED OFFER

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Institutional subscription on ScienceDirect

Request a sales quote

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.