Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Google eBook)

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Morgan Kaufmann, Jul 13, 2005 - Computers - 560 pages
43 Reviews
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.

The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

* Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization—in a new, interactive interface
  

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Review: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)

User Review  - JDK1962 - Goodreads

I really, really wanted to like this book more than I did. After all, it was about a topic that I have great interest in, and describes a workbench application (Weka) that I can command-line access ... Read full review

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

User Review  - Juliusz Gonera - Goodreads

Very hands on/practical intro to the subject. For readers who want to start using ML techniques quickly and worry about theoretical considerations later. Read full review

All 7 reviews »

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Contents

Machine learning tools and techniques
1
Concepts instances and attributes
41
Knowledge representation
61
Part II
80
4
83
2
89
5
91
5
143
The Explorer
369
Doing it again
377
Training and testing learning schemes
384
Clustering and association rules
391
Unsupervised instance filters
400
The Knowledge Flow interface
427
Analyzing the results
440
2
449

1
148
2
163
Applying the MDL principle to clustering
183
Engineering the input and output
285
3
345
198
347
The Weka machine learning workbench
363
Going through the code
462
computeInfoGain
480
201
497
Index
505
About the authors
525
Copyright

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Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques (Second Edition). Ian H. Witten, Eibe Frank, The 2nd edition of the data mining book. ...
www.cs.waikato.ac.nz/ ~ml/ weka/ book.html

citeulike: Data Mining: Practical Machine Learning Tools and ...
TY - BOOK ID - citeulike:340715 TI - Data Mining: Practical Machine Learning Tools and Techniques SE - Morgan Kaufmann Series in Data Management Systems PB ...
www.citeulike.org/ user/ sb-3000/ article/ 340715

Data Mining: Practical Machine Learning Tools and Techniques with ...
Data Mining: Practical Machine Learning Tools and. Techniques with Java Implementations. by/an H. Witten and Eibe Frank. Morgan Kaufmann Publishers, 2000 ...
portal.acm.org/ ft_gateway.cfm?id=507355& type=pdf& dl=GUIDE& dl=ACM

ilink Universidad de Alicante
Data mining : practical machine learning tools and techniques Witten, Ian H. As with any burgeoning technology that enjoys commercial attention, ...
gaudi.ua.es/ uhtbin/ boletin/ 321593

Morgan Kaufmann Data Mining Practical Machine Learning Tools and ...
Morgan Kaufmann Data Mining Practical Machine Learning Tools and Techniques Second Edition Jun 2005. Author: Ian H. Witten Publisher: Morgan Kaufmann ...
download-ebook.org/ index.php?target=desc& ebookid=4282

biomedical Engineering online | Comments | Review of "Data Mining ...
Review of "Data Mining: Practical Machine Learning Tools and Techniques" by Witten and Frank. Francisco Azuaje email. biomedical Engineering online 2006, ...
www.biomedical-engineering-online.com/ content/ 5/ 1/ 51/ comments

Data mining : practical machine learning tools and techniques
Title, Data mining : practical machine learning tools and techniques - 2nd ed. Author(s), Witten, ih ; Frank, E. Publisher, San Fransisco, CA [etc. ...
library.wur.nl/ WebQuery/ catalog/ lang/ 1825924

1475-925X-5-51 1475-925X Book review Review of "Data Mining ...
Book details Witten IH Frank E Data Mining: Practical Machine Learning Tools and Techniques San Francisco: Morgan Kaufmann Publishers 2 2005 560 ISBN ...
www.biomedcentral.com/ content/ download/ xml/ 1475-925x-5-51.xml

Data Mining
Data Mining: Practical Machine Learning Tools and Techniques (Chapter 5). Credibility:. Evaluating what’s been learned ...
www.csd.uwo.ca/ courses/ CS412a/ slides/ Chapter5.pdf

PII: S0004-3702(01)00124-2
Artificial Intelligence 131 (2001) 191–198. Book Review. Two machine learning textbooks:. An instructor’s perspective. ✩. Ernest Davis ...
linkinghub.elsevier.com/ retrieve/ pii/ S0004370201001242

About the author (2005)

University of Waikato, New Zealand

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