9783319218571 - feature selection for high-dimensional data (artificial intelligence: foundations, theory, and algorithms) von bolón-canedo, verónica; sánchez-maroño, noelia; alonso-betanzos, amparo (4 Ergebnisse)
Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Sprache: Englisch
Verlag: Springer, 2015
Serie: Buch 2 von 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
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EUR 61,26
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Zustand: New. In.
Feature Selection for High-Dimensional Data
Bolón-Canedo, Verónica (Author)/ Sánchez-Maroño, Noelia (Author)/ Alonso-Betanzos, Amparo (Author)
Sprache: Englisch
Verlag: Springer, 2015
Serie: Buch 2 von 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 148 pages. 9.25x6.25x0.50 inches. In Stock.
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2015
Serie: Buch 2 von 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 f…irst 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.
Sprache: Englisch
Verlag: Palgrave Macmillan, 2015
Serie: Buch 2 von 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 42,80
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 au…thors 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.
