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Volumn 56, Issue 1, 2005, Pages 3-14

Automatic knowledge extraction from survey data: Learning M-of-N constructs using a hybrid approach

Author keywords

Decision trees; M of N constructs; Neural networks

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA PROCESSING; DATA REDUCTION; FUNCTION EVALUATION; KNOWLEDGE ACQUISITION; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 12144263803     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2601807     Document Type: Review
Times cited : (11)

References (29)
  • 1
    • 38349077713 scopus 로고
    • A methodology for measuring consumer preference in developing countries
    • Malhotra NK (1988). A methodology for measuring consumer preference in developing countries. Int Mktg Rev 5(3): 52-66.
    • (1988) Int Mktg Rev , vol.5 , Issue.3 , pp. 52-66
    • Malhotra, N.K.1
  • 2
    • 0003164164 scopus 로고
    • Attitude scale methodology: Cross-cultural implications
    • Yu JH, Keown CF and Jacobs LW (1993). Attitude scale methodology: cross-cultural implications. J Int Mktg Rex 6(2): 45-64.
    • (1993) J Int Mktg Rex , vol.6 , Issue.2 , pp. 45-64
    • Yu, J.H.1    Keown, C.F.2    Jacobs, L.W.3
  • 3
    • 0001924296 scopus 로고
    • The globalization of markets
    • Levitt T (1983). The globalization of markets. Harvard Bus Rev 30: 92-102.
    • (1983) Harvard Bus Rev , vol.30 , pp. 92-102
    • Levitt, T.1
  • 4
    • 0033751611 scopus 로고    scopus 로고
    • Extracting M-of-N rules from trained neural networks
    • Setiono R (2000). Extracting M-of-N rules from trained neural networks. IEEE Trans Neural Netw 11(2): 512-519.
    • (2000) IEEE Trans Neural Netw , vol.11 , Issue.2 , pp. 512-519
    • Setiono, R.1
  • 5
    • 0033277401 scopus 로고    scopus 로고
    • Expert, linear models, and nonlinear models of expert decision making in bankruptcy prediction: A lens model analysis
    • Kim CN and McLeod Jr R (1999). Expert, linear models, and nonlinear models of expert decision making in bankruptcy prediction: a lens model analysis. J Mngt Inf Syst 16(1): 189-206.
    • (1999) J Mngt Inf Syst , vol.16 , Issue.1 , pp. 189-206
    • Kim, C.N.1    McLeod Jr., R.2
  • 6
    • 0028444978 scopus 로고
    • Bankruptcy prediction using neural networks
    • Wilson RL and Sharda R (1994). Bankruptcy prediction using neural networks. Dec Sup Syst 11(5): 545-557.
    • (1994) Dec Sup Syst , vol.11 , Issue.5 , pp. 545-557
    • Wilson, R.L.1    Sharda, R.2
  • 7
    • 0028446878 scopus 로고
    • Decision support in a non-conservative do-mains: Generalization with of neural networks
    • Dutta S, Shekhar S and Wong WY (1994). Decision support in a non-conservative do-mains: generalization with of neural networks. Dec Sup Syst 11: 527-544.
    • (1994) Dec Sup Syst , vol.11 , pp. 527-544
    • Dutta, S.1    Shekhar, S.2    Wong, W.Y.3
  • 8
    • 0039621572 scopus 로고    scopus 로고
    • A comparison of selected artificial neural networks that help auditors evaluate client financial viability
    • Etheridge HL, Sriram RS and Hsu HYK (2000). A comparison of selected artificial neural networks that help auditors evaluate client financial viability. Dec Sci 31: 531-549.
    • (2000) Dec Sci , vol.31 , pp. 531-549
    • Etheridge, H.L.1    Sriram, R.S.2    Hsu, H.Y.K.3
  • 9
    • 0343248556 scopus 로고
    • A multi-layer perceptron model of credit scoring for assessing default risk in charge card applicants
    • Tana SS and Koh HC (1992). A multi-layer perceptron model of credit scoring for assessing default risk in charge card applicants. Int J Mngt 14(2): 250-255.
    • (1992) Int J Mngt , vol.14 , Issue.2 , pp. 250-255
    • Tana, S.S.1    Koh, H.C.2
  • 10
    • 0032392191 scopus 로고    scopus 로고
    • The efficacy of neural networks in predicting returns on stocks and bonds
    • Desai VS and Bharati R (1998). The efficacy of neural networks in predicting returns on stocks and bonds. Dec Sci 29: 405-425.
    • (1998) Dec Sci , vol.29 , pp. 405-425
    • Desai, V.S.1    Bharati, R.2
  • 11
    • 0031288365 scopus 로고    scopus 로고
    • Performance evaluation of neural network decision models
    • Jain B and Nag BN (1997). Performance evaluation of neural network decision models. J Mngt Inf Syst 14: 202-216.
    • (1997) J Mngt Inf Syst , vol.14 , pp. 202-216
    • Jain, B.1    Nag, B.N.2
  • 12
    • 0032640524 scopus 로고    scopus 로고
    • Artificial neural networks in bankruptcy prediction
    • Zhang G, Hu MY, Patuwo BE and Indro DC (1999). Artificial neural networks in bankruptcy prediction. Eur J Oprl Res 116: 16-32.
    • (1999) Eur J Oprl Res , vol.116 , pp. 16-32
    • Zhang, G.1    Hu, M.Y.2    Patuwo, B.E.3    Indro, D.C.4
  • 13
    • 0035588333 scopus 로고    scopus 로고
    • An evaluation of self-organizing map networks as a robust alternative to factor analysis in data mining applications
    • Kiang M and Kumar A (2001). An evaluation of self-organizing map networks as a robust alternative to factor analysis in data mining applications. Inf Syst Res 12: 177-194.
    • (2001) Inf Syst Res , vol.12 , pp. 177-194
    • Kiang, M.1    Kumar, A.2
  • 14
    • 0028448573 scopus 로고
    • A classification approach using multi-layered neural networks
    • Piramuthu S and Shaw MJ (1994). A classification approach using multi-layered neural networks. Dec Sup Syst 11: 509-525.
    • (1994) Dec Sup Syst , vol.11 , pp. 509-525
    • Piramuthu, S.1    Shaw, M.J.2
  • 15
    • 0033277434 scopus 로고    scopus 로고
    • Choosing datamining methods for multiple classification: Representational and performance measurement implications for decision support
    • Spangler WE, May JH and Vargas LG (1999). Choosing datamining methods for multiple classification: representational and performance measurement implications for decision support. J Mngt Inf Syst 16(1): 37-62.
    • (1999) J Mngt Inf Syst , vol.16 , Issue.1 , pp. 37-62
    • Spangler, W.E.1    May, J.H.2    Vargas, L.G.3
  • 16
    • 0033277431 scopus 로고    scopus 로고
    • Dynamics of modeling in data mining: Interpretive approach to bankruptcy prediction
    • Sung TK, Chang N and Lee G (1999). Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction. J Mngt Inf Syst 16(1): 63-85.
    • (1999) J Mngt Inf Syst , vol.16 , Issue.1 , pp. 63-85
    • Sung, T.K.1    Chang, N.2    Lee, G.3
  • 17
    • 0032208720 scopus 로고    scopus 로고
    • The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
    • Andrews R, Diederich J and Tickle AB (1998). The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. IEEE Trans Neural Netw 9(6): 1057-1068.
    • (1998) IEEE Trans Neural Netw , vol.9 , Issue.6 , pp. 1057-1068
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 21
    • 0027678679 scopus 로고
    • Extracting refined rules from knowledge-based neural networks
    • Towell GG and Shavlik JW (1993). Extracting refined rules from knowledge-based neural networks. Mach Learn 13(1): 71-101.
    • (1993) Mach Learn , vol.13 , Issue.1 , pp. 71-101
    • Towell, G.G.1    Shavlik, J.W.2
  • 22
    • 1442303705 scopus 로고    scopus 로고
    • Identifying brand image dimensionality and measuring degree of brand globalization: A cross-national study
    • Hsieh M-H (2002). Identifying brand image dimensionality and measuring degree of brand globalization: a cross-national study. J Int Mktg 10(2): 46-67.
    • (2002) J Int Mktg , vol.10 , Issue.2 , pp. 46-67
    • Hsieh, M.-H.1
  • 23
    • 0024880831 scopus 로고
    • Multilayer feedforward neural networks are universal approximators
    • Hornik K, Stinchcombe KM and White W (1989). Multilayer feedforward neural networks are universal approximators. Neural Netw 2: 359-366.
    • (1989) Neural Netw , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, K.M.2    White, W.3
  • 24
    • 21844514693 scopus 로고
    • A neural network construction algorithm which maximizes the likelihood function
    • Setiono R (1995). A neural network construction algorithm which maximizes the likelihood function. Con Sci 7(2): 147-166.
    • (1995) Con Sci , vol.7 , Issue.2 , pp. 147-166
    • Setiono, R.1
  • 25
    • 0028413960 scopus 로고
    • A simple and effective method for removal of hidden units and weights
    • Hagiwara M (1994). A simple and effective method for removal of hidden units and weights. Neurocomputing 6: 207-218.
    • (1994) Neurocomputing , vol.6 , pp. 207-218
    • Hagiwara, M.1
  • 27
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their application to chess end games
    • Michalski RS, Carbonnel JG and Mitchell TM (eds). Morgan Kaufmann: Los Altos, CA
    • Quinlan R (1983). Learning efficient classification procedures and their application to chess end games. In: Michalski RS, Carbonnel JG and Mitchell TM (eds). Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann: Los Altos, CA.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Quinlan, R.1
  • 28
    • 12144276941 scopus 로고    scopus 로고
    • Inductive modeling of expert decision making in loan evaluation
    • Kim CN and Chung HM (1997). Inductive modeling of expert decision making in loan evaluation. Dec Sup Syst 12(2): 191-200.
    • (1997) Dec Sup Syst , vol.12 , Issue.2 , pp. 191-200
    • Kim, C.N.1    Chung, H.M.2
  • 29
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • Japkowicz N and Stephen S (2002). The class imbalance problem: a systematic study. Int Data Anal J 6(5): 429-450.
    • (2002) Int Data Anal J , vol.6 , Issue.5 , pp. 429-450
    • Japkowicz, N.1    Stephen, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.