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

By:

Witten, I. H. (Ian H.)

Contributor(s):

Material type: Text

TextSeries: Morgan Kaufmann series in data management systemsPublication details: Burlington, MA : Morgan Kaufmann, c2011.Edition: Third editionDescription: xxxiii, 629 pages : illustrations ; 24 cmISBN:

9780123748560 (pbk.)

Subject(s):

Data mining

DDC classification:

006.3/12 W829d 2011 22

LOC classification:

QA76.9.D343 W58 2011

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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Books	Premier University Faculty of Engineering Library	006.3/12 W829d 2011	1	Available	28673
Books	Premier University Faculty of Engineering Library	006.3/12 W829d 2011	2	Available	28674
Books	Premier University Faculty of Engineering Library	006.3/12 W829d 2011	3	Available	28675
Books	Premier University Faculty of Engineering Library	006.3/12 W829d 2011	4	Available	28676
Books	Premier University Faculty of Engineering Library	006.3/12 W829d 2011	5	Available	28677

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

Computer Science & Engineering

There are no comments on this title.

to post a comment.