Scalable Non-Parametric Pattern Recognition Techniques for Data Mining

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2011, 2011

3845416203 / 9783845416205

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.…

Seller Inventory # 9783845416205

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

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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