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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/58451668 Title: Data mining : practical machine learning tools and techniques Author: I H Witten; Eibe Frank Publisher: Amsterdam ; Boston, MA : Morgan Kaufman, 2005. ISBN/ISSN: 0120884070 9780120884070 OCLC:58451668

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Data mining : practical machine learning tools and techniques

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Data mining : practical machine learning tools and techniques

Author:	I H Witten; Eibe Frank
Publisher:	Amsterdam ; Boston, MA : Morgan Kaufman, 2005.
Series:	Morgan Kaufmann series in data management systems
Edition/Format:	Book : English : 2nd edView all editions and formats
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Material Type:	Internet resource
Document Type:	Book, Internet Resource
All Authors / Contributors:	I H Witten; Eibe Frank Find more information about:
ISBN:	0120884070 9780120884070
OCLC Number:	58451668
Description:	xxxi, 525 p. : ill. ; 24 cm.
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.
Series Title:	Morgan Kaufmann series in data management systems
Responsibility:	Ian H. Witten, Eibe Frank.
More information:	Publisher description Table of contents only

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