书目详细信息
： Data mining
书目信息 机读格式(MARC)
| ISBN： | 978-7-111-37417-6 |
|---|---|
| 个人名称： | Witten, I. H. |
| 题名： | Data mining practical machine learning tools and techniques = 数据挖掘 : 实用机器学习工具与技术 / Ian H. Witten, Eibe Frank, Mark A. Hall著. |
| 版本说明： | 3rd ed. |
| 出版发行项： | 北京 : China Machine Press, 2012. |
| 载体形态： | xxiv, 629 p. : ill. ; 24 cm. |
| 书目附注： | Includes bibliographical references (p. 587-605) and index. |
| 格式化内容附注： | 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. |