29 Nov '11, 5pm

IT Has 26 Words for Data Mining

IT Has 26 Words for Data Mining

Intelligence about baseball had become equated in the public mind with the ability to recite arcane baseball stats. What [baseball statistician Bill] James's wider audience had failed to understand was that the statistics were beside the point. The point was understanding; the point was to make life on earth just a bit more intelligible. — Michael Lewis in Moneyball (2003) Organizations of all sizes are sitting on mountains of data; what they really need are knowledge engineers who can excavate nuggets of ­valuable information from that data. Earlier this year (in "The Coming Data Deluge ," IEEE Spectrum , February 2011), I mentioned the concept of data mining , which uses sophisticated software and database tools to extract nonobvious patterns, correlations, and useful information from large and complex data sets. Data mining begins with data preprocessing : the gathering...

Full article: http://spectrum.ieee.org/at-work/innovation/it-has-26-wor...

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