Dimensionality Reduction For Small, medium And Large Scale Data: A Quick Reference - Couverture souple

Appavu Alias Balamurugan, Subramanian; Sasikala, S.

 
9783659231711: Dimensionality Reduction For Small, medium And Large Scale Data: A Quick Reference

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.

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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.

Biographie de l'auteur

Dr.S.Appavu Balamurugan, Professor,KLNCIT,India.He received his Ph.D in Data mining from Anna University.His research has been supported by UGC,India. He is a member of IEEE & CSI. He has published 30 research papers in reputed journal including ELSEVIER & SPRINGER.S.Sasikala is pursuing Full Time Ph.D in Data mining under Anna University.

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