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Optimal Data Diagnosis Algorithms (ISR IP)
For more information, contact ISR External Relations Director Jeff Coriale at coriale@umd.edu or 301.405.6604.
Inventors: V.S. Subrahmanian, Jason Michael Ernst
U.S. Patent: 7,474,987
Description
This invention relates to a technique for computing optimal diagnosis for inference problems associated with various applications such as fault diagnosis of manufacturing lines for any product, analyzing credit risks for banks, mortgage and credit card companies, analyzing potential insurance fraud, analyzing bank accounts for illicit activities such as money laundering, illegal international transfers etc.
In its simplest form the invention relates to a technique for efficiently separating desired conditions from undesired conditions in relational databases associated with applications in many areas of human activity.
The technique for optimal association rules mining is applicable to both numeric and non-numeric attributes, and can involve mining not just one rule at a time, but mining a set for N rules for some number N.
For more information
If you would like to license this intellectual property, have questions, would like to contact the inventors, or need more information, contact ISR External Relations Director Jeff Coriale at coriale@umd.edu or 301.405.6604.
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Published June 20, 2007