메뉴 건너뛰기




Volumn 7, Issue , 2008, Pages 3630-3634

Neural data mining for credit card fraud detection

Author keywords

Confidence; Fraud detection; Neural network model; ROC; Spending pattern

Indexed keywords

CONTROL THEORY; CYBERNETICS; ELECTRONIC COMMERCE; INFORMATION MANAGEMENT; LEARNING SYSTEMS; METROPOLITAN AREA NETWORKS; ROBOT LEARNING;

EID: 57749087154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4621035     Document Type: Conference Paper
Times cited : (61)

References (15)
  • 1
    • 57749094457 scopus 로고    scopus 로고
    • http://www.pay4.cn/?viewnews-565.html
  • 5
    • 84947935163 scopus 로고    scopus 로고
    • A Neural Classifier with Fraud Density Map for Effective Credit Card Fraud Detection
    • Proc. International Conference on Intelligent Data Engineering and Automated Learning, Springer Verlag
    • M.J. Kim and T.S. Kim, "A Neural Classifier with Fraud Density Map for Effective Credit Card Fraud Detection," Proc. International Conference on Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, Springer Verlag, no. 2412, pp. 378-383, 2002.
    • (2002) Lecture Notes in Computer Science , Issue.2412 , pp. 378-383
    • Kim, M.J.1    Kim, T.S.2
  • 7
    • 57749105109 scopus 로고    scopus 로고
    • [Jeske, D.R. Lin, P.J. Rendon, C. Rui Xiao Samadi, B., Synthetic Data Generation Capabilties for Testing Data Mining Tools. IEEE: Military Communications Conference, pp.1-6, 2006.
    • [Jeske, D.R. Lin, P.J. Rendon, C. Rui Xiao Samadi, B., Synthetic Data Generation Capabilties for Testing Data Mining Tools. IEEE: Military Communications Conference, pp.1-6, 2006.
  • 9
    • 0013113240 scopus 로고    scopus 로고
    • Fawcett and F. Provost. Adaptive fraud detection. Data Mining and Knowledge Discovery Journal, 1(3):291-316, 1997.
    • Fawcett and F. Provost. Adaptive fraud detection. Data Mining and Knowledge Discovery Journal, 1(3):291-316, 1997.
  • 10
    • 57749100849 scopus 로고    scopus 로고
    • [W. DuMouchel and M. Schonlau. A fast computer intrusion detection algorithm based on hypothesis testing of command transition probabilities. In Proc. 4th Int. conf. on Knowledge Discovery and Data Mining, Pages 189-193, 1998.
    • [W. DuMouchel and M. Schonlau. A fast computer intrusion detection algorithm based on hypothesis testing of command transition probabilities. In Proc. 4th Int. conf. on Knowledge Discovery and Data Mining, Pages 189-193, 1998.
  • 11
    • 57749086014 scopus 로고    scopus 로고
    • R.Brause, T.Langsdorf, M.Hepp, Credit Card Fraud Detection by Adaptive Neural Data Mining, J.W. Gorthe-University, Comp. Sc. Dep., Report 7/99, Frankfrut, Germany, 1999.
    • R.Brause, T.Langsdorf, M.Hepp, Credit Card Fraud Detection by Adaptive Neural Data Mining, J.W. Gorthe-University, Comp. Sc. Dep., Report 7/99, Frankfrut, Germany, 1999.
  • 14
    • 57749089297 scopus 로고    scopus 로고
    • Application of ROC analysis in machine learning
    • Xiaolong Zhang, Chuan Jiang, Mingjian Luo, Application of ROC analysis in machine learning. Computer Engineering and Applications, 2007, 43 (4): 243- 248.
    • (2007) Computer Engineering and Applications , vol.43 , Issue.4 , pp. 243-248
    • Zhang, X.1    Jiang, C.2    Luo, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.