Real-Time Fraud Detection using Data Quality Diagnosis Techniques for R&D Grant

데이터 품질진단 기법을 이용한 연구개발비 이상거래 실시간 탐지

  • Jang, Ki-Man (Department of Computer Engineering, Paichai University) ;
  • kim, Chang-Su (Department of Computer Engineering, Paichai University) ;
  • Jung, Hoe-kyung (Department of Computer Engineering, Paichai University)
  • Received : 2015.10.02
  • Accepted : 2015.11.09
  • Published : 2015.11.30


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.


  1. S. J. Park, J. Y. Byun, M. H. Cho, D. W. Kim, "Innovation Resistance in Adoption Process of New R&D Grant Management System," Korean Academic Society of Business Administration, Vol.24, No.2, pp.19-31, Nov. 2007.
  2. T. S. O, "Transparency of the research performed by the research institution Cards," Korean Development Institute, 2001.
  3. H. G. Lee, G. S. Shin, "A Study on Transparency of Research Fund Supported by Government," Korean Academic Society of Accounting, Vol.12, No.3, pp.189-209, Dec.2007.
  4. S. A. Kim, "A study on increasing transprency of government research and development fund usage : focused on introduction R&D credit card system in government R&D fund," M. S. dissertation, Kyunghee University, 2009.
  5. Korea Evaluation Institute of Industrial Technology, "Real-time integration Grant Management System project request for proposal," 2009.
  6. J. E. Kim, M. S. Kim, K. N. Lee, H. Y. Jeon, "Improvement of R&D funding management system for National R&D Program", Korea Information Society Development Institute, Sep. 2014.
  7. Korea Database Agency, "Guide line for Database Quality", 2011.
  8. Financial Security Agency, "Technology guide for fraud detection in Financial Transaction System", 2014.
  9. Telecommunications Technology Association, "Fraud Detection and Response Framework in Electronic Financial Transaction System",TTAK.KO-0178, 2011.
  10. Abbasi, A., C. Albrecht, A. Vance, and J. Hansen, "MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud," MIS Quarterly, Vol.36, No.4, pp.1293-1340, 2012.
  11. D. K. Kim, K. Kim, J. W. Kim, S. Park, "A Study on the Application of Outlier Analysis for Fraud Detection: Focused on Transactions of Auction Exception Agricultural Products," Journal of Intelligence and Information Systems, Vol.20, No.3, pp.93-108, 2014.
  12. Kou, Y., C. T. Lu, S. Sirwongwattana, Y. P.Huang, "Survey of Fraud Detection Techniques," Proceedings of the 2004 IEEE international conference on Networking, sensing and control, Vol.2, pp.749-754, 2004.