Noise Filtering for Big Data Analytics - Couverture rigide

 
9783110697094: Noise Filtering for Big Data Analytics
Couverture rigide
ISBN 10 : 3110697092 ISBN 13 : 9783110697094
Editeur : De Gruyter, 2022

Synopsis

This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model. Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information. This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Souvik Bhattacharyya, Koushik Ghosh, University of Burdwan, West Bengal, India.

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

Éditeur
De Gruyter
Date d'édition
2022
Langue
anglais
ISBN 10 
3110697092
ISBN 13 
9783110697094
Reliure
Relié
Nombre de pages
164
Éditeur
Bhattacharyya Souvik, Ghosh Koushik
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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