Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659231711 ISBN 13: 9783659231711
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. 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.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659231711 ISBN 13: 9783659231711
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659231711 ISBN 13: 9783659231711
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Appavu alias Balamurugan SubramanianDr.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 publishe.
Language: English
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659231711 ISBN 13: 9783659231711
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.