Noise Filtering for Big Data Analytics / / ed. by Souvik Bhattacharyya, Koushik Ghosh.
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 import...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
---|---|
MitwirkendeR: |
Acharjee, Santanu,
Bhattacharyya, Souvik, Chaudhuri, Dipta, Dawud Adebayo, Agunbiade, Ghosh, Koushik, Indu, Pabak, Khan, Samarpita, Khondekar, Mofazzal H., Mukherjee, Moloy, Nureni Olawale, Adeboye, Paul, Rimi, Purkait, Souvik, Saha, Gokul, Samadder, Swetadri, Sengupta, Anindita, Sharma, Vivek, Singh, Vijai, |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
12 |
Online Access: | |
Physical Description: | 1 online resource (VIII, 156 p.) |
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