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Real-Time Fraud Detection using Data Quality Diagnosis Techniques for R&D Grant
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 Title & Authors
Real-Time Fraud Detection using Data Quality Diagnosis Techniques for R&D Grant
Jang, Ki-Man; kim, Chang-Su; Jung, Hoe-kyung;
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 Abstract
National research and development projects institutions have implemented various measures in order to prevent R&D expenses abuse and negate enforcement. but it reveals a limit to prevent abuse of R&D expenses[1,2]. In this paper, to prevent abuses resulting from the R & D for the unusual trading post caught collecting information from the R & D phase implementation plan to detect unusual transactions. The results are subjective and research institutions, and specialized agencies to take advantage of shared, real-time cross-linkage between the credit card companies. Studies of data quality diagnostic techniques developed for this purpose related regulations and manuals, Q & A, FAQ, Outside-in business rules that derive from a variety of information, such as personnel interviews (Outside-In) was used for analysis.
 Keywords
Data quality diagnosis;Business Rules;R&D;Research Cards;Detect unusual trading;
 Language
Korean
 Cited by
 References
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