9783319218571 - feature selection for high-dimensional data (artificial intelligence: foundations, theory, and algorithms) de alonso-betanzos, amparo; sánchez-maroño, noelia; bolón-canedo, verónica (18 resultados)
Feature Selection for High-dimensional Data
Bolón-canedo, Verónica; Sánchez-maroño, Noelia; Alonso-betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 61,06
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Feature Selection for High-dimensional Data
Bolón-canedo, Verónica; Sánchez-maroño, Noelia; Alonso-betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 62,45
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Feature Selection for High-Dimensional Data
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 66,26
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Hardback. Condición: New. 1st ed. 2015. 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 sy…nthesis 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.
Feature Selection for High-Dimensional Data (Artificial Intelligence: Foundations, Theory, and Algorithms)
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 61,76
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Feature Selection for High-dimensional Data
Bolón-canedo, Verónica; Sánchez-maroño, Noelia; Alonso-betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Condición: New.
Feature Selection for High-dimensional Data
Bolón-canedo, Verónica; Sánchez-maroño, Noelia; Alonso-betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 67,99
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Condición: As New. Unread book in perfect condition.
Feature Selection for High-Dimensional Data
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. 148.
Feature Selection for High-Dimensional Data
Bolón-Canedo, Verónica (Author)/ Sánchez-Maroño, Noelia (Author)/ Alonso-Betanzos, Amparo (Author)
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 79,80
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Hardcover. Condición: Brand New. 148 pages. 9.25x6.25x0.50 inches. In Stock.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 53,49
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Buch. Condición: 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… 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.
Feature Selection for High-Dimensional Data
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
- Tapa dura
Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 62,30
Envío por EUR 76,73Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: New. 1st ed. 2015. 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 sy…nthesis 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.
Idioma: Inglés
Editorial: Palgrave Macmillan, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 42,80
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Condición: 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…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.
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing Okt 2015, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 164 pp. Englisch.
Feature Selection for High-Dimensional Data
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 83,83
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Condición: New. Print on Demand pp. 148.
Feature Selection for High-Dimensional Data
Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alonso-Betanzos, Amparo
Idioma: Inglés
Editorial: Springer, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 148.
Feature Selection for High-Dimensional Data
Verónica Bolón-Canedo|Noelia Sánchez-Maroño|Amparo Alonso-Betanzos
Idioma: Inglés
Editorial: Springer International Publishing, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explains how to choose an optimal subset of features according to a certain criterionCoherent, comprehensive approach to feature subset selection in the scope of classification problemsAuthors explain the Bi…g Dimensionality problemDr.
Idioma: Inglés
Editorial: Springer, Springer Okt 2015, 2015
Serie: Artificial Intelligence: Foundations, Theory, and Algorithms, Libro 2 de 15. Libro 2 de 15 - Artificial Intelligence: Foundations, Theory, and Algorithms
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 53,49
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.
