Document Type
Article
Publication Date
2019
Abstract
Data-mining is often used to discover patterns in Big Data. It is tempting believe that because an unearthed pattern is unusual it must be meaningful, but patterns are inevitable in Big Data and usually meaningless. The paradox of Big Data is that data mining is most seductive when there are a large number of variables, but a large number of variables exacerbates the perils of data mining.
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Recommended Citation
Smith, Gary N., "The Paradox of Big Data" (2019). Pomona Economics. 6.
https://scholarship.claremont.edu/pomona_fac_econ/6
