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Volumn 4132 LNCS - II, Issue , 2006, Pages 872-883

Testing the fraud detection ability of different user profiles by means of FF-NN classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CRIME; INDUSTRIAL MANAGEMENT; SECURITY OF DATA;

EID: 33749825000     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_91     Document Type: Conference Paper
Times cited : (13)

References (23)
  • 1
    • 33749853906 scopus 로고    scopus 로고
    • Classification, detection and prosecution of fraud in mobile networks
    • Sorrento Italy
    • Gosset, P. and Hyland, M.: Classification, detection and prosecution of fraud in mobile networks. Proceedings of ACTS Mobile Summit, Sorrento Italy (1999)
    • (1999) Proceedings of ACTS Mobile Summit
    • Gosset, P.1    Hyland, M.2
  • 2
    • 0042421807 scopus 로고    scopus 로고
    • Statistical fraud detection: A review
    • Bolton, R. J. and Hand, D. J.: Statistical fraud detection: a review. Statistical Science, vol. 17, no. 3. (2002) 235-255
    • (2002) Statistical Science , vol.17 , Issue.3 , pp. 235-255
    • Bolton, R.J.1    Hand, D.J.2
  • 7
    • 0002688690 scopus 로고    scopus 로고
    • Discovery of fraud rules for telecommunications - Challenges and solutions
    • ACM Press, San Diego, CA, USA
    • Rosset, S., Murad, U., Neumann, E., Idan, Y., and Pinkas G.: Discovery of fraud rules for telecommunications - challenges and solutions. Proc. of ACM SIGKDD-99. ACM Press, San Diego, CA, USA (1999) 409-413
    • (1999) Proc. of ACM SIGKDD-99 , pp. 409-413
    • Rosset, S.1    Murad, U.2    Neumann, E.3    Idan, Y.4    Pinkas, G.5
  • 8
    • 0002704048 scopus 로고    scopus 로고
    • User profiling in personalization applications through rule discovery and validation
    • ACM Press, San Diego, CA, USA
    • Adomavicious, G. and Tuzhilin, Al.: User profiling in Personalization Applications through Rule Discovery and Validation. Proc. of ACM SIGKDD-99. ACM Press, San Diego, CA, USA (1999) 377 - 381
    • (1999) Proc. of ACM SIGKDD-99 , pp. 377-381
    • Adomavicious, G.1    Tuzhilin, Al.2
  • 10
    • 0242468747 scopus 로고    scopus 로고
    • An anomaly intrusion detection method by clustering normal user behavior
    • Oh, S. H. and Lee, W. S.: An anomaly intrusion detection method by clustering normal user behavior. Computers & Security, Vol. 22, No. 7. (2003) 596-612
    • (2003) Computers & Security , vol.22 , Issue.7 , pp. 596-612
    • Oh, S.H.1    Lee, W.S.2
  • 13
    • 0036804085 scopus 로고    scopus 로고
    • Network intrusion and fault detection: A statistical anomaly approach
    • Manikopoulos, C. and Papavassilliou, S.: Network Intrusion and Fault Detection: A Statistical Anomaly Approach. IEEE Communications Magazine, Vol. 40, 10. (2002) 76-82
    • (2002) IEEE Communications Magazine , vol.40 , Issue.10 , pp. 76-82
    • Manikopoulos, C.1    Papavassilliou, S.2
  • 20
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • Riedmiller, M., and H. Braun.: A direct adaptive method for faster backpropagation learning: The RPROP algorithm. Proc. of the IEEE Int. Conf. on Neural Networks, Vol.1. (1993) 586-591
    • (1993) Proc. of the IEEE Int. Conf. on Neural Networks , vol.1 , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 21
    • 0033326221 scopus 로고    scopus 로고
    • Using the receiver operating characteristic to asses the performance of neural classifiers
    • Downey, T. J., Meyer, D. J., Price R. K., and Spitznagel E. L.: Using the receiver operating characteristic to asses the performance of neural classifiers. Int. Joint Conf. Neural Networks, Vol. 5. (1999) 3642 -3646
    • (1999) Int. Joint Conf. Neural Networks , vol.5 , pp. 3642-3646
    • Downey, T.J.1    Meyer, D.J.2    Price, R.K.3    Spitznagel, E.L.4
  • 22
    • 0002900357 scopus 로고    scopus 로고
    • The case against accuracy estimation for comparing induction algorithms
    • San Francisco, Morgan Kaufmann
    • Provost, F., Fawcett, T. and Kohavi, R.: The case against accuracy estimation for comparing induction algorithms. Proc of the Fifteenth Int. Conf. on Machine Learning. San Francisco, Morgan Kaufmann (1998) 43-48
    • (1998) Proc of the Fifteenth Int. Conf. on Machine Learning , pp. 43-48
    • Provost, F.1    Fawcett, T.2    Kohavi, R.3
  • 23
    • 15544371595 scopus 로고    scopus 로고
    • Forecasting nonlinear time series with feed-forward neural networks: A case study of Canadian lynx data
    • Kajitani, Yoshio, Hipel, Keith W., McLeod Ian A.: Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data. Journal of Forecasting, Vol. 24 (2). (2005) 105-117
    • (2005) Journal of Forecasting , vol.24 , Issue.2 , pp. 105-117
    • Kajitani, Y.1    Hipel, K.W.2    McLeod Ian, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.