Data Mining
Concepts, Models, Methods, and Algorithms
Résumé
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades.
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 | 23/09/2011 | ||
| Édition | 2eme édition | ||
| Nb. de pages | 522 | ||
| Couverture | Broché | ||
| Intérieur | Noir et Blanc | ||
| EAN13 | 9780470890455 | ||
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