TY - JOUR
T1 - Mathematics for Big Data
AU - Di Bucchianico, Alessandro
AU - Iapichino, Laura
AU - Litvak, Nelly
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 - 19, Series 5
SP - 282
EP - 286
JO - Nieuw archief voor wiskunde
JF - Nieuw archief voor wiskunde
SN - 0028-9825
IS - 4
ER -