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Data mining : practical machine learning tools and techniques 4th ed

Data mining : practical machine learning tools and techniques 4th ed (14회 대출)

자료유형
단행본
개인저자
Witten, I. H. (Ian H.). Witten, I. H. (Ian H.).
서명 / 저자사항
Data mining : practical machine learning tools and techniques / Ian H. Witten ... [et al.].
판사항
4th ed.
발행사항
Amsterdam :   Elsevier,   c2017.  
형태사항
xxxii, 621 p. ; 24 cm.
ISBN
9780128042915
일반주기
Rev. edition of: Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013.  
서지주기
Includes bibliographical references (p. 573-601) and index.
일반주제명
Data mining.
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245 0 0 ▼a Data mining : ▼b practical machine learning tools and techniques / ▼c Ian H. Witten ... [et al.].
250 ▼a 4th ed.
260 ▼a Amsterdam : ▼b Elsevier, ▼c c2017.
300 ▼a xxxii, 621 p. ; ▼c 24 cm.
500 ▼a Rev. edition of: Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall. c2013.
504 ▼a Includes bibliographical references (p. 573-601) and index.
650 0 ▼a Data mining.
700 1 ▼a Witten, I. H. ▼q (Ian H.).
700 1 ▼a Witten, I. H. ▼q (Ian H.). ▼t Data mining.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.312 W829d4 등록번호 121239838 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 006.312 W829d4 등록번호 121248298 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Part I : Introduction to data mining. What''s it all about?
Input : concepts, instances, and attributes
Output : knowledge representation
Algorithms : the basic methods
Credibility : evaluating what''s been learned
Part II : More advanced machine learning schemes. Trees and rules
Extending instance-based and linear models
Data transformations
Probabilistic methods
Deep learning
Beyond supervised and unsupervised learning
Ensemble learning
Moving on : applications and beyond.

관련분야 신착자료

Deisenroth, Marc Peter (2020)