Statistics and Big Data: Different Perspectives

被引:0
|
作者
Nunes, Sandra [1 ,2 ]
Oliveira, Teresa A. [3 ,4 ]
Oliveira, Amilcar [3 ,4 ]
机构
[1] Polytech Inst Setubal, Sch Business Adm, Campus IPS Estefanilha, Setubal, Portugal
[2] Univ Nova Lisboa, Fac Sci & Technol, Ctr Math & Applicat, Lisbon, Portugal
[3] Univ Aberta, Palacio Ceia,Rua Escola Politecn, Lisbon, Portugal
[4] Univ Lisbon, Ctr Stat & Applicat, Lisbon, Portugal
关键词
D O I
10.1063/5.0026847
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Big Data has become the new slang in the world of information collection and analysis. The researches we conduct and the data we collect continue to grow, due to rapidly expansion of technology. Disciplines such as Computer Science, Engineering, and Statistics play a key role in the analysis of big data, each with its specificity but all equally important, an opinion that is not shared by all, being the Statistic considered the weakest link. This work attempts to show that Statistics have a distinct and essential role in this new world of Big Data, showing that Statistics and Big Data denote a crucial union. We will start with a brief introduction to Big Data and the several existing definitions.
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