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Data Mining for Very Busy People
November 2003 (vol. 36 no. 11)
pp. 22-29
Tim Menzies, West Virginia University
Ying Hu, University of British Columbia

Most modern businesses can access mountains of data electronically—the trick is effectively using that data. In practice, this means summarizing large data sets to find the data that really matters. Most data miners are zealous hunters seeking detailed summaries and generating extensive and lengthy descriptions. The authors take a different approach and assume that busy people don't need—or can't use—complex models. Rather, they want only the data they need to achieve the most benefits.

Instead of finding extensive descriptions of things, their data mining tool hunts for a minimal difference set between things because they believe a list of essential differences is easier to read and understand than detailed descriptions.

Citation:
Tim Menzies, Ying Hu, "Data Mining for Very Busy People," Computer, vol. 36, no. 11, pp. 22-29, Nov. 2003, doi:10.1109/MC.2003.1244531
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