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Feature selection for data and pattern recognition [electronic resource]

Feature selection for data and pattern recognition [electronic resource]

Material type
E-Book(소장)
Personal Author
Stańczyk, Urszula. Jain, Lakhmi C.
Title Statement
Feature selection for data and pattern recognition [electronic resource] / Urszula Stańczyk, Lakhmi C. Jain, editors.
Publication, Distribution, etc
Berlin;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (xviii, 355 p.) : ill.
Series Statement
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computational intelligence. Pattern recognition systems.
Short cut
URL
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006 m d
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008 200728s2015 gw a ob 001 0 eng d
020 ▼a 9783662456200
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a Q342
082 0 4 ▼a 006.4 ▼2 23
084 ▼a 006.4 ▼2 DDCK
090 ▼a 006.4
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)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.4 Accession No. E14029198 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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