Feature Extraction, Construction and Selection

Name: Feature Extraction, Construction and Selection
Brand: Springer, Berlin
SKU: 9781461376224
Price: 76883 HUF
Availability: InStock

A Data Mining Perspective

Szerző: Huan Liu, Hiroshi Motoda

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Huan Liu, Hiroshi Motoda

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2013

oldal

410

EAN

9781461376224

ISBN

146137622X

Enbook ID

06797006

Kiadó

Springer, Berlin

Súly

670

Méretek

155 x 235 x 22

Teljes leírás

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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