An edition of Data mining (2011)

Data mining

practical machine learning tools and techniques

3rd ed.

by

  • 4 Want to read
  • 1 Have read
Cover of: Data mining by I. H. Witten, I. H. Witten
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  • 4 Want to read
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Last edited by ImportBot
March 28, 2025 | History
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An edition of Data mining (2011)

Data mining

practical machine learning tools and techniques

3rd ed.

by

  • 4 Want to read
  • 1 Have read

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Publish Date
Publisher
Morgan Kaufmann
Language
English
Pages
629

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Subjects

Data mining General Professional, career & trade -> computer science -> database management
Edition Availability
Cover of: Data mining
Data mining: practical machine learning tools and techniques
2011, Morgan Kaufmann
in English - 3rd ed.

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Book Details

Table of Contents

Part I. Machine Learning Tools and Techniques: 1. What's iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned
Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond
Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer
12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.

Edition Notes

Includes bibliographical references (p. 587-605) and index.

Published in
Burlington, MA
Series
[Morgan Kaufmann series in data management systems], Morgan Kaufmann series in data management systems

Classifications

Dewey Decimal Class
006.3/12
Library of Congress
QA76.9.D343 W58 2011, QA76.9.D3

The Physical Object

Pagination
xxxiii, 629 p. :
Number of pages
629

Edition Identifiers

Open Library
OL25130580M
ISBN 10
0123748569
ISBN 13
9780123748560
LCCN
2010039827
OCLC/WorldCat
262433473, 804815502
Wikidata
Q58560581

Work Identifiers

Work ID
OL16341250W

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