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Feature selection for high-dimensional data [electronic resource]

Feature selection for high-dimensional data [electronic resource]

자료유형
E-Book(소장)
개인저자
Bolón-Canedo, Verónica. Sánchez-Maroño, Noelia. Alonso-Betanzos, Amparo.
서명 / 저자사항
Feature selection for high-dimensional data [electronic resource] / Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2015.  
형태사항
1 online resource (xv, 147 p.) : ill. (some col.).
총서사항
Artificial intelligence: foundations, theory, and algorithms,2365-3051
ISBN
9783319218588
요약
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.   The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers.   The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
일반주기
Title from e-Book title page.  
내용주기
Introduction to High-Dimensionality -- Foundations of Feature Selection -- Experimental Framework -- Critical Review of Feature Selection Methods -- Application of Feature Selection to Real Problems -- Emerging Challenges.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Database management. Data mining. Artificial intelligence.
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020 ▼a 9783319218588
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082 0 4 ▼a 006.312 ▼2 23
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100 1 ▼a Bolón-Canedo, Verónica.
245 1 0 ▼a Feature selection for high-dimensional data ▼h [electronic resource] / ▼c Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xv, 147 p.) : ▼b ill. (some col.).
490 1 ▼a Artificial intelligence: foundations, theory, and algorithms, ▼x 2365-3051
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Introduction to High-Dimensionality -- Foundations of Feature Selection -- Experimental Framework -- Critical Review of Feature Selection Methods -- Application of Feature Selection to Real Problems -- Emerging Challenges.
520 ▼a This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.   The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers.   The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Database management.
650 0 ▼a Data mining.
650 0 ▼a Artificial intelligence.
700 1 ▼a Sánchez-Maroño, Noelia.
700 1 ▼a Alonso-Betanzos, Amparo.
830 0 ▼a Artificial intelligence: foundations, theory, and algorithms.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-21858-8
945 ▼a KLPA
991 ▼a E-Book(소장)

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No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
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