Noise Filtering for Big Data Analytics: 12 (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 12) - Hardcover

Souvik Bhattacharyya; Koushik Ghosh

 
9783110697094: Noise Filtering for Big Data Analytics: 12 (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 12)
Hardcover
ISBN 10: 3110697092 ISBN 13: 9783110697094
Publisher: 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.

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About the Author

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

"About this title" may belong to another edition of this title.

Publisher
De Gruyter
Publication date
2022
Language
English
ISBN 10 
3110697092
ISBN 13 
9783110697094
Binding
Hardcover
Number of pages
156