A Big Data Management and Analytics Framework for Supporting Machine Learning, OLAP, and Visualization on Big COVID-19 Data

Massive amounts of data, including big data, are generated and collected today from a variety of diverse data sources. These big data differ in terms of their veracity that ranges from imprecise and uncertain to precise. These data hide a huge amount of valuable information and precious knowledge th...

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Vydané v:	Journal of database management Ročník 36; číslo 1; s. 1 - 44
Hlavní autori:	Cuzzocrea, Alfredo, Leung, Carson K, Shang, Siyuan, Wen, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hershey IGI Global 01.01.2025
Predmet:	Big Data Coronaviruses COVID-19 Data analysis Data management Data mining Data processing Data science Disease Disease control Epidemiology Health care Health services Information retrieval Machine learning Online analytical processing Patients Policy making Scientific visualization Secrets Visualization
ISSN:	1063-8016, 1533-8010
On-line prístup:	Získať plný text
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