Feature Extraction, Construction and Selection

Name: Feature Extraction, Construction and Selection
Brand: Springer, Berlin
SKU: 9781461376224
Price: 199.82 EUR
Availability: InStock

A Data Mining Perspective

Autor: Huan Liu, Hiroshi Motoda

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

199.82 €

There is broad interest in feature extraction, construction, and selection among practitioners from...

Informácie o knihe

Autor

Huan Liu, Hiroshi Motoda

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2013

Stránok

410

EAN

9781461376224

ISBN

146137622X

Enbook ID

06797006

Vydavateľ

Springer, Berlin

Hmotnosť

670

Rozmery

155 x 235 x 22

Kompletný popis

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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Feature Extraction, Construction and Selection

A Data Mining Perspective

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