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题名/责任者:

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:

Beijing : China Machine Press, 2012.

ISBN:

9787111374176

载体形态项:

xxiv, 629 p. : ill. ; 24 cm.

变异题名:

数据挖掘 : 实用机器学习工具与技术

丛编说明:

经典原版书库

个人责任者:

Witten, I. H. (Ian H.)

附加个人名称:

Frank, Eibe.

附加个人名称:

Hall, Mark A.

论题主题:

Data mining.

中图法分类号:

TP311.13

书目附注:

Includes bibliographical references (p. 587-605) and index.

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.

原版附注:

Reprint. Originally published: Burlington, MA : Morgan Kaufmann,c2011, 3th. 9780123748560.

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