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Feature selection for data and pattern recognition [electronic resource]

Feature selection for data and pattern recognition [electronic resource]

자료유형
E-Book(소장)
개인저자
Stańczyk, Urszula. Jain, Lakhmi C.
서명 / 저자사항
Feature selection for data and pattern recognition [electronic resource] / Urszula Stańczyk, Lakhmi C. Jain, editors.
발행사항
Berlin;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
형태사항
1 online resource (xviii, 355 p.) : ill.
총서사항
Studies in computational intelligence,1860-949X ; 584
ISBN
9783662456200
요약
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.
일반주기
Title from e-Book title page.  
내용주기
Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computational intelligence. Pattern recognition systems.
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245 0 0 ▼a Feature selection for data and pattern recognition ▼h [electronic resource] / ▼c Urszula Stańczyk, Lakhmi C. Jain, editors.
260 ▼a Berlin; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xviii, 355 p.) : ▼b ill.
490 1 ▼a Studies in computational intelligence, ▼x 1860-949X ; ▼v 584
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Feature Selection for Data and Pattern Recogniton: an Introduction -- Part I Estimation of Feature Importance -- Part II Rough Set Approach to Attribute Reduction -- Part III Rule Discovery and Evaluation -- Part IV Data- and Domain-oriented Methodologies.
520 ▼a This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computational intelligence.
650 0 ▼a Pattern recognition systems.
700 1 ▼a Stańczyk, Urszula.
700 1 ▼a Jain, Lakhmi C.
830 0 ▼a Studies in computational intelligence ; ▼v 584.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-45620-0
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
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