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Volumn , Issue , 2006, Pages 71-86

Risk management and regulatory compliance: A data mining framework based on neural network rule extraction

Author keywords

Data mining; Neural networks; Regulatory compliance; Rule extraction

Indexed keywords

BASEL II; BLACK BOXES; CONTINUOUS ATTRIBUTE; DATA MINING APPLICATIONS; DATA MINING FRAMEWORKS; DATA MINING SYSTEM; DECISION SUPPORTS; DISCRETIZATIONS; REGULATORY REQUIREMENTS; REGULATORY STANDARDS; RULE EXTRACTION; RULE EXTRACTION ALGORITHMS; WHITE BOX;

EID: 84870011323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (25)
  • 1
    • 0036707194 scopus 로고    scopus 로고
    • Rule extraction from local cluster nets
    • Andrews, R. and Geva, S., "Rule extraction from local cluster nets, " Neurocomputing (47:1-4), pp. 1-20, 2002.
    • (2002) Neurocomputing , vol.47 , Issue.1-4 , pp. 1-20
    • Andrews, R.1    Geva, S.2
  • 3
    • 12144275700 scopus 로고    scopus 로고
    • Building credit-risk evaluation expert systems using neural network rule extraction and decision tables
    • in New Orleans, Louisiana, December
    • Baesens B., Setiono R., Mues C. and Vanthienen J., "Building credit-risk evaluation expert systems using neural network rule extraction and decision tables, " in Proceedings of the International Conference on Information Systems, New Orleans, Louisiana, December 2001, pp. 159-168.
    • (2001) Proceedings of the International Conference on Information Systems , pp. 159-168
    • Baesens, B.1    Setiono, R.2    Mues, C.3    Vanthienen, J.4
  • 5
    • 0030291564 scopus 로고    scopus 로고
    • A comparison of neural networks and linear scoring models in the credit union environment
    • Desai V.S., Crook J.N. and Overstreet Jr., G.A., " A comparison of neural networks and linear scoring models in the credit union environment, " European Journal of Operational Research (95:1), pp. 24-37, 1996.
    • (1996) European Journal of Operational Research , vol.95 , Issue.1 , pp. 24-37
    • Desai, V.S.1    Crook, J.N.2    Overstreet Jr., G.A.3
  • 6
    • 2442617148 scopus 로고    scopus 로고
    • Extracting rules from trained neural network using GA for managing Ebusiness
    • Elalfi A.E., Haque. R. and Elalami, M.E., " Extracting rules from trained neural network using GA for managing Ebusiness, " Applied Soft Computing (4:1), pp. 65-77, 2004.
    • (2004) Applied Soft Computing , vol.4 , Issue.1 , pp. 65-77
    • Elalfi, A.E.1    Haque, R.2    Elalami, M.E.3
  • 7
    • 33644921465 scopus 로고    scopus 로고
    • Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach
    • Etchells T.A. and Lisboa, P.J.G., "Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach, " IEEE Transactions on Neural Networks (17:2), pp. 374-384, 2006.
    • (2006) IEEE Transactions on Neural Networks , vol.17 , Issue.2 , pp. 374-384
    • Etchells, T.A.1    Lisboa, P.J.G.2
  • 9
    • 0035127989 scopus 로고    scopus 로고
    • Symbolic knowledge extraction from trained neural networks: A sound approach
    • Garcez d'Avila A.S., Broda, K. and Gabbay, D.M., "Symbolic knowledge extraction from trained neural networks: A sound approach, " Artificial Intelligence (125:1), pp. 155-207, 2001.
    • (2001) Artificial Intelligence , vol.125 , Issue.1 , pp. 155-207
    • Garcez d'Avila, A.S.1    Broda, K.2    Gabbay, D.M.3
  • 11
    • 12144269984 scopus 로고    scopus 로고
    • Fuzzy logic and evolutionary algorithm-two techniques in rule extraction from neural networks
    • Markowska-Kaczmar U. and Trelak W., "Fuzzy logic and evolutionary algorithm-two techniques in rule extraction from neural networks, " Neurocomputing (63), pp. 359-379, 2005.
    • (2005) Neurocomputing , Issue.63 , pp. 359-379
    • Markowska-Kaczmar, U.1    Trelak, W.2
  • 12
    • 0004114283 scopus 로고
    • PROBEN1: A set of benchmarks and benchmarking rules for neural network training algorithms
    • Fakultät für Informatik, Universität Karlsruhe, Germany
    • Prechelt L., "PROBEN1: A set of benchmarks and benchmarking rules for neural network training algorithms, " Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, Germany, 1994.
    • (1994) Technical Report 21/94
    • Prechelt, L.1
  • 14
    • 0030631792 scopus 로고    scopus 로고
    • Extracting rules from neural networks by pruning and hidden-unit splitting
    • Setiono R., "Extracting rules from neural networks by pruning and hidden-unit splitting, " Neural Computation (9:1), pp. 205-225, 1997.
    • (1997) Neural Computation , vol.9 , Issue.1 , pp. 205-225
    • Setiono, R.1
  • 15
    • 0030109008 scopus 로고    scopus 로고
    • Symbolic interpretation of neural networks
    • March
    • Setiono R. and Liu H., "Symbolic interpretation of neural networks, " IEEE Computer (29:3), pp. 71-77, March 1996.
    • (1996) IEEE Computer , vol.29 , Issue.3 , pp. 71-77
    • Setiono, R.1    Liu, H.2
  • 16
    • 0342378106 scopus 로고    scopus 로고
    • Neurolinear: From neural networks to oblique decision rules
    • Setiono R. and Liu H., "Neurolinear: from neural networks to oblique decision rules, " Neurocomputing (17:1), pp. 1-24, 1997.
    • (1997) Neurocomputing , vol.17 , Issue.1 , pp. 1-24
    • Setiono, R.1    Liu, H.2
  • 17
    • 25144464662 scopus 로고    scopus 로고
    • Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem
    • Sexton R.S., McMurtrey S. and Cleavenger D.J., "Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem, " European Journal of Operational Research (168), pp. 1009-1018, 2006.
    • (2006) European Journal of Operational Research , Issue.168 , pp. 1009-1018
    • Sexton, R.S.1    McMurtrey, S.2    Cleavenger, D.J.3
  • 19
    • 84870162025 scopus 로고    scopus 로고
    • A traffic light approach to PD validation
    • Deutsche Bundesbank
    • Tasche D., "A traffic light approach to PD validation, " Working paper, Deutsche Bundesbank, 2003.
    • (2003) Working paper
    • Tasche, D.1
  • 20
    • 0032208720 scopus 로고    scopus 로고
    • The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
    • Tickle A.B., Andrews, R., Golea, M. and Diederich, J., "The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks, " IEEE Transactions on Neural Networks (9:6), pp. 1057-1068, 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.6 , pp. 1057-1068
    • Tickle, A.B.1    Andrews, R.2    Golea, M.3    Diederich, J.4
  • 21
    • 0001466281 scopus 로고    scopus 로고
    • A survey of credit and behavioral scoring: Forecasting financial risk of lending to customers
    • Thomas L.C., "A survey of credit and behavioral scoring: forecasting financial risk of lending to customers, " International Journal of Forecasting (16), pp. 149-172, 2000.
    • (2000) International Journal of Forecasting , Issue.16 , pp. 149-172
    • Thomas, L.C.1
  • 22
    • 0033742671 scopus 로고    scopus 로고
    • Extracting rules from trained neural networks
    • Tsukimoto H., "Extracting rules from trained neural networks, " IEEE Transactions on Neural Networks (11:2), pp. 377-389, 2000.
    • (2000) IEEE Transactions on Neural Networks , vol.11 , Issue.2 , pp. 377-389
    • Tsukimoto, H.1
  • 23
    • 0032188712 scopus 로고    scopus 로고
    • An illustration of verification and validation in the modeling phase of KBS development
    • Vanthienen J., Mues, C. and Aerts, A., "An illustration of verification and validation in the modeling phase of KBS development, " Data & Knowledge Engineering (27), pp. 337-352, 1998.
    • (1998) Data & Knowledge Engineering , Issue.27 , pp. 337-352
    • Vanthienen, J.1    Mues, C.2    Aerts, A.3
  • 24
    • 0034118581 scopus 로고    scopus 로고
    • Neural network credit scoring models
    • West D., "Neural network credit scoring models, " Computers and Operations Research (27), pp. 1131-1152, 2000.
    • (2000) Computers and Operations Research , Issue.27 , pp. 1131-1152
    • West, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.