Noise filtering for big data analytics
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...
| Другие авторы: | , |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin ; Boston:
De Gruyter,
[2022]
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| Серии: | De Gruyter series on the applications of mathematics in engineering and information sciences ;
v. 12. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
