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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
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.
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