Mathematics for Big Data

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

doi:10.1515/9780691197944-010

Mathematics for Big Data

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

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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
Title of host publication	The Best Writing on Mathematics 2019
Editors	Mircea Pitici
Place of Publication	Princeton, UK
Publisher	Princeton University Press
Chapter	8
Pages	120-131
Number of pages	12
ISBN (Electronic)	978-0-691-19867-5
ISBN (Print)	978-0-691-19794-4
DOIs	https://doi.org/10.1515/9780691197944-010
Publication status	Published - 5 Nov 2019

Keywords

Applied Mathematics
Big Data
Artificial intelligence

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10.1515/9780691197944-010

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AU - van der Meulen, Frank

AU - Wehrens, Ron

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AB - 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.

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KW - Big Data

KW - Artificial intelligence

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BT - The Best Writing on Mathematics 2019

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CY - Princeton, UK

ER -

Mathematics for Big Data

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