02049cam a22003614a 4500 16490354 OSt 20150408114159.0 101005s2011 maua b 001 0 eng 2010039827 9780123748560 (pbk.) 0123748569 (pbk.) (OCoLC)ocn262433473 DLC DLC YDX BTCTA YDXCP BWX DEBSZ CDX IUL DLC pcc QA76.9.D343 W58 2011 006.312 22 WID Witten, I. H. (Ian H.) 41288 Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. 3rd ed. Burlington, MA : Morgan Kaufmann, c2011. xxxiii, 629 p. : ill. ; 24 cm. [Morgan Kaufmann series in data management systems] Includes bibliographical references (p. 587-605) 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. Data mining. Frank, Eibe. 41289 Hall, Mark A. 41290 Morgan Kaufmann series in data management systems. 37808 7 cbc orignew 1 ecip 20 y-gencatlg ddc BOOK 32802 267302 0 2014-01-04 0 0 006.312 WID 2014-01-04 CL CL 2014-01-04 00:00:00 BOOK ddc 0