Data mining : practical machine learning tools and techniques
by
 
Witten, I. H. (Ian H.)

Title
: 
Data mining : practical machine learning tools and techniques

Author
: 
Witten, I. H. (Ian H.)

ISBN
: 
9780123748560

Personal Author
: 
Witten, I. H. (Ian H.)

Edition
: 
3rd ed.

Publication Information
: 
Burlington, MA : Morgan Kaufmann, c2011.

Physical Description
: 
xxxiii, 629 p. : ill. ; 24 cm.

Series
: 
[Morgan Kaufmann series in data management systems]

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.

Subject Term
: 
Data mining.

Added Author
: 
Frank, Eibe.
 
Hall, Mark A.


LibraryMaterial TypeItem BarcodeShelf NumberCopy
IIEMSAGeneral Books33168025789914006.312 W829D 20111
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IIEMSAGeneral Books33168025604170006.312 W829D 20119