Scalable Non-Parametric Pattern Recognition Techniques for Data Mining : Fast Non-Parametric Classification and Clustering Methods for Large Data Sets

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3845416203 / 9783845416205

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge discovery in data is called data mining. Many data mining techniques require classification and clustering. Large data sets are available nowadays in the world and fast approaches of classification or clustering becomes a tedious work with large data sets. For example, computer vision, text mining, semantic web mining, natural language processing etc., require non-parametric pattern recognition methods. This book describes fast approaches to discover knowledge from large data sets.This book deals with condensing of large data and also preserving essential information in the data. This book describes many efficient fast classifiers and clustering methods which are based on density information in the large data sets. It describes to resolve vagueness and uncertainty that is present in large data sets using combination principles of rough sets and fuzzy sets. Approaches in this book are adaptive and they can be applied in many machine learning methods in many domains.…

Seller Inventory # 9783845416205

Title
Scalable Non-Parametric Pattern Recognition Techniques for Data Mining : Fast Non-Parametric Classification and Clustering Methods for Large Data Sets
Author
Suresh Veluru
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3845416203
ISBN 13
9783845416205
Item weight
191 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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