Data mining : practical machine learning tools and techniques

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Title:

Author:

Witten, I. H. (Ian H.)

ISBN:

9780120884070

Personal Author:

Witten, I. H. (Ian H.)

Edition:

2nd ed.

Publication Information:

Amsterdam ; Boston, MA : Morgan Kaufman, 2005.

Physical Description:

xxxi, 525 p. : ill. ; 24 cm.

Series:

Morgan Kaufmann series in data management systems

Series Title:

Morgan Kaufmann series in data management systems

Contents:

Pt. I. Machine learning tools and techniques. 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 -- Transformations : engineering the input and output -- Moving on : extensions and applications -- Pt. II. The Weka machine learning workbench. Introduction to Weka -- The Explorer -- The Knowledge Flow interface -- The Experimenter -- The command-line interface -- Embedded machine learning -- Writing new learning schemes.

Subject Term:

Data mining.

Java (programmeertaal)

Machine-learning.

Algoritmen.

Added Author:

Frank, Eibe.

Electronic Access:

Publisher description http://www.loc.gov/catdir/enhancements/fy0624/2005043385-d.html
Table of contents only http://www.loc.gov/catdir/enhancements/fy0624/2005043385-t.html

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:MSA-RES	33168020404899	006.3 W829D 2005	1	Searching... Unknown
Searching... 1:IIEMSA	1:MSA-RES	33168025415569	006.3 W829D 2005	4	Searching... Unknown
Searching... 1:IIEMSA	1:MSA-RES	33168025503570	006.3 W829D 2005	5	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168025503539	006.3 W829D 2005	6	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168025807054	006.3 W829D 2005	7	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168025503653	006.3 W829D 2005	8	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168020404824	006.3 W829D 2005	9	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168025415601	006.3 W829D 2005	10	Searching... Unknown

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Summary

Data Mining, Second Edition, describes data mining 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 of this 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; and much more.

This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.