Dimensionality Reduction For Small, medium And Large Scale Data | A Quick Reference

Subramanian alias Balamurugan Appavu (u. a.)

ISBN 10: 3659231711 ISBN 13: 9783659231711
Edité par LAP Lambert Academic Publishing, 2012
Neuf(s) Taschenbuch

Vendeur preigu, Osnabrück, Allemagne Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Vendeur AbeBooks depuis 5 août 2024


A propos de cet article

Description :

Dimensionality Reduction For Small, medium And Large Scale Data | A Quick Reference | Subramanian alias Balamurugan Appavu (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659231711 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106300868

Signaler cet article

Synopsis :

At the highest level of description, this book is about dimensionality reduction for data mining. It focuses on dimensional reduction on Small, Medium and very large Scale data. This book is not intended as an introduction to Feature selection, although we do provide the background necessary in several areas in order to facilitate the reader’s comprehension of their respective roles in data mining. This book reviews state-of-the-art dimensionality reduction techniques for analyzing enormous quantities of raw data in high-dimensional data spaces to extract new information useful to the decision-making process.

Présentation de l'éditeur: At the highest level of description, this book is about dimensionality reduction for data mining. It focuses on dimensional reduction on Small, Medium and very large Scale data. This book is not intended as an introduction to Feature selection, although we do provide the background necessary in several areas in order to facilitate the reader’s comprehension of their respective roles in data mining. This book reviews state-of-the-art dimensionality reduction techniques for analyzing enormous quantities of raw data in high-dimensional data spaces to extract new information useful to the decision-making process.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Détails bibliographiques

Titre : Dimensionality Reduction For Small, medium ...
Éditeur : LAP Lambert Academic Publishing
Date d'édition : 2012
Reliure : Taschenbuch
Etat : Neu

Meilleurs résultats de recherche sur AbeBooks