Data mining : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall.
Saved in:
| : | |
|---|---|
| TeilnehmendeR: | |
| Year of Publication: | 2011 |
| Edition: | 3rd ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | xxxiii, 629 p. :; ill. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02134nam a2200409 a 4500 | ||
|---|---|---|---|
| 001 | 500634862 | ||
| 003 | MiAaPQ | ||
| 005 | 20200520144314.0 | ||
| 006 | m o d | | ||
| 007 | cr cn||||||||| | ||
| 008 | 101005s2011 ne a sb 001 0 eng d | ||
| 010 | |z 2010039827 | ||
| 020 | |z 9780123748560 (pbk.) | ||
| 020 | |z 0123748569 (pbk.) | ||
| 020 | |a 9780080890364 (electronic bk.) | ||
| 035 | |a (MiAaPQ)500634862 | ||
| 035 | |a (Au-PeEL)EBL634862 | ||
| 035 | |a (CaPaEBR)ebr10525052 | ||
| 035 | |a (CaONFJC)MIL295388 | ||
| 035 | |a (OCoLC)701704090 | ||
| 040 | |a MiAaPQ |c MiAaPQ |d MiAaPQ | ||
| 050 | 4 | |a QA76.9.D343 |b W58 2011 | |
| 082 | 0 | 4 | |a 006.3/12 |2 22 |
| 100 | 1 | |a Witten, I. H. |q (Ian H.) | |
| 245 | 1 | 0 | |a Data mining |h [electronic resource] : |b practical machine learning tools and techniques / |c Ian H. Witten, Eibe Frank, Mark A. Hall. |
| 250 | |a 3rd ed. | ||
| 260 | |a Amsterdam : |b Elsevier/Morgan Kaufmann, |c 2011. | ||
| 300 | |a xxxiii, 629 p. : |b ill. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Part I. Machine learning tools and techniques: 1. What's it 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. | |
| 533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Data mining. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Frank, Eibe. | |
| 700 | 1 | |a Hall, Mark A. | |
| 710 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=634862 |z Click to View |