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Data mining : practical machine learning tools and techniques
- 作者： Witten, I. H. (Ian H.)
- 其他作者：
- 其他題名：
- Morgan Kaufmann series in data management systems
- 出版： Burlington, MA : Morgan Kaufmann
- 版本：3rd ed.
- 叢書名： [Morgan Kaufmann series in data management systems]
- 主題： Data mining , Java (Computer program language)
- ISBN： 9780123748560 (pbk.) 、 0123748569 (pbk.)
- 資料類型: 圖書
- 內容註: 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.
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讀者標籤：
- 系統號： 005088465 | 機讀編目格式
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