Mathematics for Big Data

Alessandro Di Bucchianico, Laura Iapichino, Nelli Vladimirovna Litvak, Frank Van der Meulen, Ron Wehrens

Research output: Contribution to journal › Article › Professional

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 languageEnglish
Pages (from-to)282-286
Number of pages5
JournalNieuw archief voor wiskunde
Volume5
Issue number4
Publication statusPublished - 4 Dec 2018

Fingerprint

Statistics
Life

Keywords

  • Big Data
  • Applied Mathematics

Cite this

Di Bucchianico, A., Iapichino, L., Litvak, N. V., Van der Meulen, F., & Wehrens, R. (2018). Mathematics for Big Data. Nieuw archief voor wiskunde, 5(4), 282-286.
Di Bucchianico, Alessandro ; Iapichino, Laura ; Litvak, Nelli Vladimirovna ; Van der Meulen, Frank ; Wehrens, Ron. / Mathematics for Big Data. In: Nieuw archief voor wiskunde. 2018 ; Vol. 5, No. 4. pp. 282-286.
@article{663cc4ecf16e49d385f0d0fc58581cf6,
title = "Mathematics for Big Data",
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.",
keywords = "Big Data, Applied Mathematics",
author = "{Di Bucchianico}, Alessandro and Laura Iapichino and Litvak, {Nelli Vladimirovna} and {Van der Meulen}, Frank and Ron Wehrens",
year = "2018",
month = "12",
day = "4",
language = "English",
volume = "5",
pages = "282--286",
journal = "Nieuw archief voor wiskunde",
issn = "0028-9825",
publisher = "Wiskundig Genootschap",
number = "4",

}

Di Bucchianico, A, Iapichino, L, Litvak, NV, Van der Meulen, F & Wehrens, R 2018, 'Mathematics for Big Data' Nieuw archief voor wiskunde, vol. 5, no. 4, pp. 282-286.

Mathematics for Big Data. / Di Bucchianico, Alessandro; Iapichino, Laura; Litvak, Nelli Vladimirovna; Van der Meulen, Frank; Wehrens, Ron.

In: Nieuw archief voor wiskunde, Vol. 5, No. 4, 04.12.2018, p. 282-286.

Research output: Contribution to journal › Article › Professional

TY - JOUR

T1 - Mathematics for Big Data

AU - Di Bucchianico, Alessandro

AU - Iapichino, Laura

AU - Litvak, Nelli Vladimirovna

AU - Van der Meulen, Frank

AU - Wehrens, Ron

PY - 2018/12/4

Y1 - 2018/12/4

N2 - 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.

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.

KW - Big Data

KW - Applied Mathematics

UR - http://www.nieuwarchief.nl/

UR - http://www.nieuwarchief.nl/serie5/toonnummer.php?deel=19&nummer=4

M3 - Article

VL - 5

SP - 282

EP - 286

JO - Nieuw archief voor wiskunde

JF - Nieuw archief voor wiskunde

SN - 0028-9825

IS - 4

ER -

Di Bucchianico A, Iapichino L, Litvak NV, Van der Meulen F, Wehrens R. Mathematics for Big Data. Nieuw archief voor wiskunde. 2018 Dec 4;5(4):282-286.

Access to Document