Feature Extraction, Construction and Selection: A Data Mining Perspective: 453 (The Springer International Series in Engineering and Computer Science, 453) - Tapa dura

Libro 142 de 260: The Springer International Series in Engineering and Computer Science

Liu, Huan; Huan, Liu

 
9780792381969: Feature Extraction, Construction and Selection: A Data Mining Perspective: 453 (The Springer International Series in Engineering and Computer Science, 453)
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ISBN 10: 0792381963 ISBN 13: 9780792381969
Editorial: Springer, 1998

Sinopsis

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today’s advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.

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Reseña del editor

There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.

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Editorial
Springer
Año de publicación
1998
Idioma
Inglés
ISBN 10 
0792381963
ISBN 13 
9780792381969
Encuadernación
Tapa dura
Número de páginas
440
Editor
Huan Liu Liu
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Otras ediciones populares con el mismo título

9781461376224: Feature Extraction, Construction and Selection: A Data Mining Perspective: 453 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  146137622X ISBN 13:  9781461376224
Editorial: Springer, 2012
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