Explaining changes in measures thru data mining

Details Explaining changes in measures thru data mining Explaining changes in measures thru data mining

2011-03-01

2011-03-01

Holmes, Michael B. (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Creation or modification

Reexamination Certificate

active

07899776

ABSTRACT:
Systems and methodologies for identification of factors that cause significant shifts in transactions in a relational store and/or OLAP environment. Transactions are grouped into significant categories defined across the whole data space, to detect interesting sub spaces transactions. Subsequently, sub spaces that show strong variance between two slices can be selected, followed by grouping the subspaces in sub reports to measure the coverage for each sub report. A final report can then be generated that contains list of sub-reports detected in the previous acts.

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