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Data mining : practical machine learning tools and techniques

Author: I H Witten; Eibe Frank; Mark A Hall
Publisher: Burlington, MA : Morgan Kaufmann, ©2011.
Series: Morgan Kaufmann series in data management systems.
Edition/Format:   eBook : Document : English : 3rd edView all editions and formats
Summary:
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Witten, I.H. (Ian H.).
Data mining.
Burlington, MA : Morgan Kaufmann, ©2011
(DLC) 2010039827
(OCoLC)262433473
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: I H Witten; Eibe Frank; Mark A Hall
ISBN: 9780123748560 0123748569 9780080890364 0080890369
OCLC Number: 706802868
Description: 1 online resource (xxxiii, 629 pages) : illustrations.
Contents: What's it all about? --
Input : concepts, instances, and attributes --
Output : knowledge representation --
Algorithms : the basic methods --
Credibility : evaluating what's been learned --
Implementations : real machine learning schemes --
Data transformation --
Ensemble learning --
Moving on : applications and beyond --
Introduction to Weka --
The explorer --
The knowledge flow interface --
The experimenter --
The command-line interface --
Embedded machine learning --
Writing new learning schemes --
Tutorial exercises for the weka explorer.
Series Title: Morgan Kaufmann series in data management systems.
Responsibility: Ian H. Witten, Eibe Frank, Mark A. Hall.

Abstract:

Offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This work on data mining  Read more...

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"The authors provide enough theory to enable practical application, and it is this practical focus that separates this book from most, if not all, other books on this subject."- Dorian Pyle, Director Read more...

 
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