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    题名: 信用卡信用風險審核範例學習系統之研究
    Assessing Credit Card Risks Using Learning From Examples
    作者: 許愛惠
    Shu, Ai-Huey
    贡献者: 楊建民
    Jang-Ming Yang
    許愛惠
    Ai-Huey Shu
    关键词: 範例學習法
    信用卡風險審核
    信用額度
    信用卡
    Learning From Examples
    Credit Assessing
    Credit line
    Credit Card
    Logistic Regression
    日期: 1994
    上传时间: 2016-04-29 16:31:00 (UTC+8)
    摘要: 隨著國人持信用卡消費購物方式的蔚為風氣，致使發卡機構每日所需處理
    參考文獻: 三、中文書籍

    [1]　林友田［民７５］，新票據法實施後的因應策略，實業家出版社。
    [2]　金融人員研訓中心［民７８］，銀行消費性貸款實務。
    [3]　洪燦輝［民７３］，徵信典範，台北：中華徵信所。
    [4]　省屬行庫中小企業聯合輔導中心編撰［民８１］，企業徵信與呆帳預防，第三版。
    [5]　黃俊英［民８０］，多變量分析，中華經濟企業研究所出版，第四版。
    [6]　彭昭英［民８２］，ＳＡＳ與統計分析，台北：儒林書局，初版。
    [7]　葉國興［民６９］，授信管理理論與應用，台北：三民書局，初版。
    [8]　楊建民［民８０ａ］，專家系統與機器學習－財務專家系統知識庫建構與學習之研究，時英出版社。
    [9]　簡國隆［民６５］，如何減少信用交易損失，聯經出版公司。
    一、
    1. Anderson, T. W.[1958], An Introduction to Multivariate Statistical Analysis, John Wiley & Sons, Inc.
    2. Breiman, L. & Friedman, J.H. & Olshen, R. A. & Stone, C. J. [1984], Classification and Regression Trees, Belmont, California: Wadsworth International.
    3. Cole, R. H.[1972], Consumer and Commercial Credit Management Fourth Edition , Richard D. Irwin Inc., p449.
    4. Hunt, E. B. & Martin, J. & Stone, P.T.[1966] , Experiments in Induction New York: Academic Press.
    5. Irwin, R. D. [1965], Credit Management Handbook, Credit Research Fundation, p275.
    6. Joseph, F. & Hair, Jr. & Anderson, R. E. & Tatham, R.L. & Black, W.C. [1992],Multivariate Data Analysis with Readings, Macmillam Publishing Company.
    7. Quinlan, J.R. [1986], Machine Learning 1, pp.81-106.
    8. Shannon, C. E. & Weaver, W. [1975], The Mathematical Theory of Communication, Urbana University of Illinois Press, pp. 1-201.
    9. Shultz, W.J. [1947].Credit and Collection Management, New York: Prentice hall,1947.

    二、

    1. Braun, H. & Chandler, S. S.[1987],”Predicting Stock Market Behavior through Rule Induction: an Application of the Learning-from-Example Approach”, Decision Science 18, summer,pp.415-429.
    2. Breaux, C. [1992], “Credit Cards: Cutting Credit Risk”, Bank Management, Vol.68,Feb, pp.29-31.
    3. Brennan P. J. [1993],”Profitability Scoring Comes of Age”, Bank Management, Sep. pp.58-62.
    4. Carter, C. & Catlett, J. [1987] ,”Assessing Credit Card Applications Using Machine Learning”, IEEE, Fall, pp.71-79.
    5. Chesser, D.L.[1974], “Prediction Loan Noncompliance”,Journal of Commercial Bank Lending, Vol.56,No.8, pp.28-38.
    6. Cronan, T.P. & Glorfeld, L.W. [1991],”Production System Development for Expert Systems Using a Recursive Partitioning Induction Approach:An Application to Mortgage, Commercial and Consumer Lending”, Decision Science, Vol.22, pp.812-845.
    7. Duchessi, P. [1988], “A Knowledge-Engineered System for Commercial Loan Decision”, Financial Management, 17:3, pp.57-65.
    8. Frydman, H. & Altman, E.I. & Kao, D.L.[1985], “Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress”, The Journal of Finance, Vol.XL, No.1, March, pp.269-291.
    9. Gothe, P.[1990], “Credit Bureau Point Scoring Sheds Light on Shades of Gray”, The Credit World, June, pp.26-29.
    10. Greer, C. C.[ 1966], “A Benefit-Cost Model For Credit Decisions”, (Doctoral dissertation , Columbia University), Dissertation Abstracts International ,Vol.27A, No6.
    11. Ingram, J.F. and Frazier, E. L [1982], “Alternative Multivariate Testss in Limited Dependent Variable Models:An Empirical Assessment”, Journal of Financial and Quantitative Analysis, Vol.17, pp.227-240.
    12. Kattan, M. W. & Adams, D. A. & Parks, M. S. [1993],” A Comparison of Machine Learning with Human Judgment”, Journal of Management Information Vol.9, No.4, Spring, pp 37-57.
    13. Klayman, J. [ 1988], “Cue Discovery in Probabilistic Environments: Uncertainty and Experimentation’ , Learning Memory and Cognition, 14, 2, pp.317-330.
    14. Liang, T. P. [1992], “A Composite Approach to Inducing Knowledge for Expert Systems Design”, Management Science, Vol. 38, No.1, January , pp. 1-17.
    15. Lynch, D. & Dirlam, J.[1988]. “Creating a Modern Credit Approval Environment”, Credit World , Vol. 77, Sep/Oct, pp.24-28.
    16. Morrall, K [1991], “Profits by the Numbers”, Bankers Monthly, Vol.108, Nov, pp,25-29.
    17. Press, S.J.& Wilson, S.[1978], “Choosing Between Logistic Regression and Discriminant Analysis”, Journal of the American Statistical Association, Vol.73, pp.699-705.
    18. Quinlan, J. R.[1983], “Learning Efficient Classification Procedures and their Application to Chess End Games”, In R. S. Michalski et al. (eds.), Machine learning : An Artificial Intelligence Approach. Palo Alto, CA:Tioga.
    19. Radding, A. [1992], “Credit Scoring’s New Frontier”, Bank Management, Vol. 68, Sep, pp. 57-62.
    20. Rock, A. [1984] ,” Sure Ways to Score with Lenders”, Money, Sept, pp. 121-126.
    21. Rothstein, H. G.[1986], “The Effects of Time Pressure on Judgment in Multiple Cue Probability Learning”, Organizational Behavior and Human Decision Processes, 37, 1, February , pp.83-92.
    22. Saunders, J.[1985], “This is Credit Scoring”, Credit Management, Sep, pp.23-26.
    23. Scott, B. [1984], “Accounts Receivable Management: The Development of A General Trade-Credit-Limit Algorithm”,(D.B.A., The Florida State University),Dissertation Abstracts International , Vol.45-09-A, pp.2948.
    24. Shaw, M. J. & Gentry , J. A. [1988],”Using an Expert System with Inductive Learning To Evaluate Business Loans”, Financial Management, 17:3, pp.45-56.
    25. Slater, R. B. [1990], “Credit/Debit Cards: Know the Score”, Banker Monthly, Vol.107, Aug, pp. 45-63.
    26. Thompson, B. & Thompson, W. [1986], “Finding Rules in Data” Byte, November, pp.149-158.
    27. Tsay, J. J.[1973], “An Optimal Credit Line Model for Accounts Receivable”,(Doctoral Dissertation, University of Missouri-Columbia), Dissertation Abstracts, Vol. 34A, No.11.
    28. Updegrave, W. L.[1987] , “How Lenders Size You Up”, Money, April ,pp.145-155.
    29. Warner, A.E. & Ingram, F. A. [1982], “A Test for Discrimination in a Mortgage Market”, Journal of Bank Research, 12, pp. 116-124.
    30. West, C. R. [1985], “A Factor-Analytic Approach to Bank Condition”, Journal of Banking and Finance, Vol. 9, pp.253-266.
    描述: 碩士
    國立政治大學
    資訊管理學系
    81356013
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002003882
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

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