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Data mining : practical machine learning tools and techniques with Java implementations

Data mining : practical machine learning tools and techniques with Java implementations (4회 대출)

자료유형
단행본
개인저자
Witten, I. H. (Ian H.) Frank, Eibe.
서명 / 저자사항
Data mining : practical machine learning tools and techniques with Java implementations / Ian H. Witten, Eibe Frank.
발행사항
San Francisco, Calif. :   Morgan Kaufmann,   2000.  
형태사항
xxv, 371 p. ; 24 cm.
ISBN
1558605525 (pbk.) 9781558605527 (pbk.)
요약
"This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you’ll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you’re involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--BOOK JACKET.
내용주기
1. What's it all about? -- 2. Input: Concepts, instances, attributes -- 3. Output: Knowledge representation -- 4. Algorithms: The basic methods -- 5. Credibility: Evaluating what's been learned -- 6. Implementations: Real machine learning schemes -- 7. Moving on: Engineering the input and output -- 8. Nuts and bolts: Machine learning algorithms in Java -- 9. Looking forward.
서지주기
Includes bibliographical references(p. 339-349) and index.
일반주제명
Data mining. Java (Computer program language) Data Mining Java (Langage de programmation)
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020 ▼a 9781558605527 (pbk.)
024 3 1 ▼a 9781558605527
035 ▼a (OCoLC)ocm42420775
035 ▼a (OCoLC)42420775
035 ▼a (KERIS)BIB000007504772
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100 1 ▼a Witten, I. H. ▼q (Ian H.)
245 1 0 ▼a Data mining : ▼b practical machine learning tools and techniques with Java implementations / ▼c Ian H. Witten, Eibe Frank.
260 ▼a San Francisco, Calif. : ▼b Morgan Kaufmann, ▼c 2000.
300 ▼a xxv, 371 p. ; ▼c 24 cm.
504 ▼a Includes bibliographical references(p. 339-349) and index.
505 0 0 ▼g 1. ▼t What's it all about? -- ▼g 2. ▼t Input: Concepts, instances, attributes -- ▼g 3. ▼t Output: Knowledge representation -- ▼g 4. ▼t Algorithms: The basic methods -- ▼g 5. ▼t Credibility: Evaluating what's been learned -- ▼g 6. ▼t Implementations: Real machine learning schemes -- ▼g 7. ▼t Moving on: Engineering the input and output -- ▼g 8. ▼t Nuts and bolts: Machine learning algorithms in Java -- ▼g 9. ▼t Looking forward.
520 1 ▼a "This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you’ll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining - including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you’re involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource."--BOOK JACKET.
650 0 ▼a Data mining.
650 0 ▼a Java (Computer program language)
650 6 ▼a Data Mining
650 6 ▼a Java (Langage de programmation)
700 1 ▼a Frank, Eibe.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.312 W829d 등록번호 121153619 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

1. What's It All About?
2. Input: Concepts, Instances, Attributes
3. Output: Knowledge Representation
4. Algorithms: The Basic Methods
5. Credibility: Evaluating What's Been Learned
6. Implementations: Real Machine Learning Schemes
7. Moving On: Engineering The Input And Output
8. Nuts And Bolts: Machine Learning Algorithms In Java
9. Looking Forward


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