Mathematics for Big Data

Alessandro Di Bucchianico; Laura Iapichino; Nelly Litvak; Frank van der Meulen; Ron Wehrens

Mathematics for Big Data

Alessandro Di Bucchianico, Laura Iapichino, Nelly Litvak, Frank van der Meulen, Ron Wehrens

Stochastic Operations Research

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Abstract

This essay highlights several examples of using mathematics and statistics to analyse problems involving Big Data. More often than not, mathematics is essential for extracting usable information from the data. However, it usually remains hidden under the bonnet, and the general public seems to take it for granted. With this paper Alessandro Di Bucchianico, Laura Iapichino, Nelly Litvak, Frank van der Meulen and Ron Wehrens want to show some essential contributions of the fields of mathematics to Big Data using successful real-life examples.

Original language	English
Pages (from-to)	282-286
Number of pages	5
Journal	Nieuw archief voor wiskunde
Volume	19, Series 5
Issue number	4
Publication status	Published - 4 Dec 2018

Keywords

Big Data
Applied mathematics
22/4 OA procedure

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DiBucchianico2018mathematicsFinal published version, 217 KBLicence: Taverne

http://www.nieuwarchief.nl/serie5/pdf/naw5-2018-19-4-282.pdf

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KW - Applied mathematics

KW - 22/4 OA procedure

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Mathematics for Big Data

Abstract

Keywords

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