Data mining
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:42944/TOC |
|---|---|
| Glavni autor: | Witten, I. H. (-) |
| Ostali autori: | Frank, Eibe (-), Hall, Mark A. |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Burlington, MA :
Morgan Kaufmann,
c2011.
|
| Izdanje: | 3rd ed |
| Nakladnička cjelina: |
Morgan Kaufmann series in data management systems.
|
| Predmet: |
Sadržaj:
- 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.