Method and computer program product for using data mining tools to automatically compare an investigated unit and a benchmark unit
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United States of America Patent
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Nov 6, 2012
Grant Date -
Sep 22, 2011
app pub date -
May 27, 2011
filing date -
Dec 5, 2005
priority date (Note) -
Expired
status (Latency Note)
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Abstract
Sources of operational problems in business transactions often show themselves in relatively small pockets of data, which are called trouble hot spots. Identifying these hot spots from internal company transaction data is generally a fundamental step in the problem's resolution, but this analysis process is greatly complicated by huge numbers of transactions and large numbers of transaction variables to analyze. A suite of practical modifications are provided to data mining techniques and logistic regressions to tailor them for finding trouble hot spots. This approach thus allows the use of efficient automated data mining tools to quickly screen large numbers of candidate variables for their ability to characterize hot spots. One application is the screening of variables which distinguish a suspected hot spot from a reference set.
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