Data Mining: Concepts, Models, Methods, and Algorithms

Mehmed Kantardzic

358 pages, parution le 29/11/2002

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Résumé

Data mining describes the often complex and sophisticated tools used in automatic data analysis such as analyzing a customer's previous buying habits
Emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning
Describes representative state-of-the-art methods and algorithms originating from different disciplines
Offers guidance on how and when to use a particular software tool from among the hundreds offered when faced with a data set to mine
A Wiley-IEEE Press Publication

Contents

Data Mining Concepts
Preparing the Data
Data Reduction
Learning from Data
Statistical Methods
Cluster Analysis
Decision Trees and Decision Rules
Association Rules
Artificial Neural Networks
Genetic Algorithms
Fuzzy Sets and Fuzzy Logic
Visualization Methods
References

App. A Data-Mining Tools
App. B Data-Mining Applications

L'auteur - Mehmed Kantardzic

MEHMED M. KANTARDZIC, PhD, is Associate Professor and Director of the Data Mining Laboratory at the University of Louisville. He is the author of five books in data mining, including Data Mining: Concepts, Models, Methods, and Algorithms (Wiley-IEEE Press), and has published more than 120 articles in refereed journals and conference proceedings.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Mehmed Kantardzic
Parution	29/11/2002
Nb. de pages	358
Format	17,8 x 25,3
Couverture	Broché
Poids	628g
Intérieur	Noir et Blanc
EAN13	9780471228523
ISBN13	978-0-471-22852-3