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Optimising the calculation of statistical functions
by André Rodrigues; Carla Silva; Paulo Borges; Sérgio Silva; Inês Dutra
International Journal of Big Data Intelligence (IJBDI), Vol. 4, No. 2, 2017


Abstract: Statistical data analysis methods are well-known for their difficulty in handling large number of instances or large number of parameters. In this paper, we study popular and well-known statistical functions, generally applied to data analysis, and assess their performance as implemented by SPSS, MATLAB, R and our own software, DataIP. We use medium to large datasets and show that DataIP outperforms SPSS, MATLAB and R by several orders of magnitude. We argue that the design and implementation of these functions need to be rethought to adapt to today's data challenges.

Online publication date: Wed, 01-Feb-2017


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