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Data mining : practical machine learning tools and techniques
- 자료유형
- 단행본
- ISBN
- 9780123748560 (pbk.) : \92,490
- ISBN
- 0123748569 (pbk.)
- KDC
- 004.73-4
- 청구기호
- 004.73 W829d
- 서명/저자
- Data mining : practical machine learning tools and techniques
- 판사항
- 3rd ed. / Ian H. Witten, Eibe Frank, Mark A. Hall.
- 발행사항
- Burlington, MA : Morgan Kaufmann, c2011
- 형태사항
- xxxiii, 629 p : ill. ; 24 cm
- 총서명
- [Morgan Kaufmann series in data management systems]
- 서지주기
- Includes bibliographical references (p. 587-605) and index.
- 내용주기
- 완전내용Part 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.
- 일반주제명
- Data mining
- 기타저자
- Frank, Eibe.
- 기타저자
- Hall, Mark A.
- 통일총서명
- Morgan Kaufmann series in data management systems.
- Control Number
- yscl:107978
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