/LC.GIF&client=easterncarolinaedu)
Data mining practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall.
| Author/creator | Witten, I. H. |
| Other author | Frank, Eibe. |
| Other author | Hall, Mark A. |
| Format | Electronic |
| Edition | 3rd ed. |
| Publication Info | Burlington, MA : Morgan Kaufmann, |
| Description | xxxiii, 629 p. : ill. ; 24 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Supplemental Content | Full text available from eBook - Computer Science 2011 (Elsevier and Woodhead) [EBCCS11W] |
| Subjects |
| Series | [Morgan Kaufmann series in data management systems] Morgan Kaufmann series in data management systems. ^A261787 |
| 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. |
| Bibliography note | Includes bibliographical references (p. 587-605) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2010039827 |
| ISBN | 9780123748560 (pbk.) |
| ISBN | 0123748569 (pbk.) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |