Data mining: An overview

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  • Date: 28 Sep 2012

Data mining refers to the exaggerated claims of significance and/or forecasting precision generated by the selective reporting of results obtained when the structure of the model is determined “experimentally” by the repeated application of such procedures as regression analysis to the same body of data. Synonyms are “data grubbing,” “fishing,” and “Darwinian econometrics” (survival of the fittest). Data mining is neither state of the art nor best current practice; it is what applied researchers often do.

Taken from: Michael C. Lowell, Data mining, Encyclopedia of Statistical Sciences, 2006.

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