Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2005-12-05
2009-02-17
Chace, Christian P (Department: 2165)
Data processing: database and file management or data structures
Database design
Data structure types
C705S007380, C705S014270
Reexamination Certificate
active
07493324
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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Chace Christian P
Veillard Jacques
Verizon Services Corp.
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