Data mining : practical machine learning tools and techniques
by
Witten, I. H. (Ian H.)
Title
:
Data mining : practical machine learning tools and techniques
[Morgan Kaufmann series in data management systems]
Morgan Kaufmann series in data management systems.
Author
:
Witten, I. H. (Ian H.)
Frank, Eibe.
Hall, Mark A.
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]
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.
| Library | Item Barcode | Material Type | Shelf Number | Status |
|---|
| Perpustakaan Kuala Lumpur | 39292004246170 | Adult Reference | (R)006.312/WIT | Reference Material |