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Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall.

By: Contributor(s): Material type: TextTextSeries: Morgan Kaufmann series in data management systemsCopyright date: Burlington, MA : Elsevier, 2011Edition: Third editionDescription: 629 pages : illustrations ; 23.4Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780123748560 (paperback)
  • 0123748569 (paperback)
Subject(s): LOC classification:
  • QA76.9.D343 WIT
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.
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Item type Current library Collection Call number Copy number Status Barcode
Open Shelf Books Open Shelf Books Main Library -University of Zimbabwe Main Library Stack Room 2 Open Shelf QA76.9.D343 WIT (Browse shelf(Opens below)) 10 Available 36003153891
Open Shelf Books Open Shelf Books Main Library -University of Zimbabwe Main Library Stack Room 2 Open Shelf QA76.9.D343 WIT (Browse shelf(Opens below)) 9 Available 36030005176
Open Shelf Books Open Shelf Books Main Library -University of Zimbabwe Main Library Stack Room 2 Open Shelf QA76.9.D343 WIT (Browse shelf(Opens below)) 8 Available 36030003281
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 2 Available 36004003268
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 3 Available 36004003399
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 4 Available 36200003377
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 5 Available 36200003545
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 6 Available 36200003521
Core Textbook Collection Core Textbook Collection Main Library -University of Zimbabwe Main Library Core Textbook Collections Core Textbook Collections QA76.9.D343 WIT (Browse shelf(Opens below)) 7 Available 36200003497

Includes bibliographical references and index.

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.

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