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Bursting the big data bubble
Author(s) -
Fong Wai Mun
Publication year - 2017
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2017.01035.x
Subject(s) - spurious relationship , big data , stock market , bursting , bubble , economic bubble , computer science , econometrics , data science , economics , financial economics , finance , history , data mining , psychology , machine learning , neuroscience , context (archaeology) , archaeology , parallel computing
In the financial world, big data is hailed as a potential game changer for predicting stock market performance. But without adequate safeguards, big data analyses may result in spurious correlations, misguided predictions and disappointing returns. By Wai Mun Fong