Noise Filtering for Big Data Analytics

Language: English

Published by De Gruyter, DE, 2022

3110697092 / 9783110697094

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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.

Seller Inventory # LU-9783110697094

Title
Noise Filtering for Big Data Analytics
Author
Souvik Bhattacharyya
Publisher
De Gruyter, DE
Publication year
2022
Condition
New
Binding
Hardback
Language
English
ISBN 10
3110697092
ISBN 13
9783110697094
Item weight
543 grams

Rarewaves USA United

HEBRON, KY, U.S.A.

5-star seller

AbeBooks seller since June 20, 2025

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