Noise filtering for big data analytics

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...

Полное описание

Библиографическая информация
Другие авторы:	Bhattacharyya, Souvik, Ghosh, Koushik
Формат:	Электронная книга
Язык:	English
Публикация:	Berlin ; Boston: De Gruyter, [2022]
Серии:	De Gruyter series on the applications of mathematics in engineering and information sciences ; v. 12.
Предметы:	Big data. Data mining. Information filtering systems. Angewandte Mathematik. Big Data. Künstliche Intelligenz. Maschinelles Lernen. COMPUTERS / Information Technology. EBSCO eBooks Electronic books.
Online-ссылка:	EBSCOhost Перейти в каталог НБ ТГУ

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