Feature Extraction, Construction and Selection

Name: Feature Extraction, Construction and Selection
Brand: SPRINGER NATURE
SKU: 9780792381969
Price: 1154.67 RON
Availability: InStock

Autor: Huan Liu

Limbă:

Legare: Copertă tare

Editura: SPRINGER NATURE

Disponibilitate: În depozitul extern în cantități mici

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

Informații despre carte

Autor

Huan Liu

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1998

Pagini

410

EAN

9780792381969

ISBN

0792381963

Enbook ID

01291432

Editura

SPRINGER NATURE

Greutate

735

Dimensiuni

163 x 244 x 30

Descriere completă

There is a broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data pre-processing 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-the-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 research into feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of an 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. The book can be used by researchers and graduate students in machine learning, data mining, and knowledge discovery, who wish to understand techniques of feature extraction, construction and selection for data pre-processing and to solve large size, real-world problems. The book can also serve as a reference work for those who are conducting research into feature extraction, construction and selection, and are ready to meet the exciting challenges ahead of us.

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