CS5264 Decision making technologies

The books are available in the RBR section of the Science Library. Most of the journal articles can be obtained via NUS Electronic Library.

Books:

Simon Haykin, Neural Networks, A Comprehensive Foundation, 2nd Edition, Prentice Hall, Belmont, 1999, QA76.87 Hay.
Tom M. Mitchell, Machine Learning, Mc Graw-Hill, New York, 1997, Q325.5 Mit.
Wayne L. Winston, Operations Research, Application and Algorithms, 3rd Edition, Duxbury Press, Belmont, 1994, T57.6 W645.

General survey papers:

K.A. Smith and J.N.D. Gupta. Neural networks in business: Techniques and applications for the operations researchers. Computers & Operations Research, Vol. 27, No. 11-12, Sept. 2000, pages 1023-1044.
B.K. Wong, T.A. Bodnovich and Y. Selvi. Neural network application in business: A review and analysis of the literature (1988-95). Decision Support Systems, Vol. 19, 1997, pages 301-320.
B.K. Wong and T.A. Bodnovich. A bibliography of genetic algorithm business application research: 1988 - June 1996. Expert Systems, Vol. 15, No. 2, 1998, pages 75-82.
B.K. Wong, V.S. Lai and J. Lai. A bibliography of neural networks business application research: 1994 - 1998. Computers & Operations Research, Vol. 27, 2000, pages 1045-1076.

Neural network applications:

E. Alfaro, N. Garcia, M. Gamez and D. Elizondo. Bankruptcy forecasting: An empirical compariosn of AdaBoost and neural networks. Decision Support Systems, Vol. 45, No. 1, Apr. 2008, pages 110-122.
B. Baesens, T. Van Gestel, M. Stepanova, D. Van den Poel and D.J. Vanthienen. Neural network survival analysis for personal loan data. Journal of the Operational Reseach Society, Vol. 56, No. 9, 2005, pages 1089-1098.
I. Bose and R. Pal. Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach. European Journal of Operational Reseach, Article in Press, 2006.
V.S. Desai and R. Bharati. The efficacy of neural networks in predicting returns on stock and bond indices. Decision Sciences, Vol. 29, No. 2, 1998, pages 405-425.
H.L. Etheridge, R.S. Sriram and H.Y. Kathy Hsu. A comparison of selected neural networks that help auditors evaluate client financial liability. Decision Sciences, Vol. 31, No. 2, 2000, pages 531-549.
M. Y. Hu, G. Zhang, C.X. Jiang and B.E. Patuwo. A cross-validation analysis of neural network out-of-sample performance in exchange rate forecasting. Decision Sciences, Vol. 30, No. 1, 1999, pages 197-216.
K. Metaxiotis and J. Psarras. Expert systems in business: Applications and future directions for the operations researchers. Industrial Management & Data Systems, Vol. 3, No. 5, 2003, pages 361-368.
K. Metaxiotis and J. Psarras. The contribution of neural networks and genetic algorithms to business decision support: Academic myth or practical solution? Management Decision, Vol. 42, No. 2, 2004, pages 229-242.
R.S. Sexton, R.E. Dorsey and N.A. Sikander, Simultaneous optimization of neural network function and architecture algorithm. Decision Support Systems, Vol. 36, No. 3, Jan. 2004, pages 283-296.
R.S. Sexton, S. McMurtrey and D.J. Cleavenger. Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem. European Journal of Operational Reseach, Vol. 168, 2006, pages 1009-1018.
C.H. St. John, N. Balakrishnan and J.O. Fiet. Modeling the relationship between corporate stategy and wealth creation using neural networks. Computers & Operations Research, Vol. 27, 2000, pages 1077-1092.
S. Walczak. An empirical analysis of data requirements for financial forecasting with neural networks. Journal of Management Information Systems, Vol. 14, No. 4, 2001, pages 203-222.
G. Zhang, M.Y. Hu, B.E. Patuwo and D.C. Indro. Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. European Journal of Operational Reseach, Vol. 116, 1999, pages 16-32.

Neural network methods:

B.A. Jain and B.N. Nag. Performance evaluation of neural network decision models. Journal of Management Information Systems, Vol. 14, No. 2, 1997, pages 201-216.
J.J. Jiang, M. Zhong and G. Klein. Marketing category forecasting: An alternative of BVAR - Artificial neural networks. Decision Sciences, Vol. 31, No. 4, 2000, pages 789-811.
R. Setiono, J.Y.L. Thong and C-S. Yap. Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT. Information & Management, Vol. 34, 1998, pages 91-101.
R. Setiono, W.K. Leow and J.Y.L. Thong. Opening the neural network blackbox: An algorithm for extracting rules from function approximating neural networks. In the Proceedings of the 21st International Conference on Information Systems, Dec 10-13, 2000.

Decision tree methods:

A.C. Tessmer. What to learn from near misses: An inductive learning approach to credit risk assessment. Decision Sciences, Vol. 28, No. 1, 1997, pages 105-120.
S. Thomassey and A. Fiordalison. A hybrid sales forecasting system based on clustering and decision trees. Decision Support Systems, Article in Press, 2006.

Genetic algorithms:

Y.S. Kim, W.N. Street, G.J. Russell and F. Menczer. Customer targeting: A neural network approach guided by genetic algorithms. Management Science, Vol. 51, No. 2, 2005, pages 264-276.
R. Pakath and J.S. Zaveri. Specifying critical inputs in a genetic algorithm-driven decision support system: An automated facility. Decision Sciences, Vol. 26, No. 6, 1995, pages 749-779.
R. S. Sexton and R.E. Dorsey. Reliable classification using neural networks: a genetic algorithm and backpropagation comparison. Decision Support Systems, Vol. 30, 2000, pages 11-22.
R. S. Sexton, R. S. Sriram and H. Etheridge. Improving decision effectiveness of artificial neural networks: A modified genetic algorithm approach. Decision Sciences, Vol. 34, No. 3, 2003, pages 421-442.

Support vector machines:

W. Huang, Y. Nakamori and S.Y. Wang. Forecasting stock market direction with support vector machine. Computers & Operations Research, Vol. 32, Vol. 10, Oct. 2005, pages 2513-2522.
D. Martens. T. van Gestel, B. Baesens and J. Vanthienen. Comprehensible credit scoring models using rule extraction from support vector machines. European Journal of the Operational Reseach, Vol. 183, No. 3, 2007, pages 1466-1476.
K.B. Schebesch and R. Stecking. Support vector machine for classifying and describing credit applicants: Detecting typical and critical regions. Journal of the Operational Reseach Society, Vol. 56, No. 9, 2005, pages 1082-1088.
T.B. Trafalis and R.C. Gilbert. Robust classification and regression using Support vector machines. European Journal of the Operational Reseach, Vol. 173, No. 3, 2006, pages 893-909.

Data mining:

A. Feelders, H. Daniels and M. Holsheimer. Methodological and practical aspects of data mining. Information & Management, Vol. 37, 2000, pages 271-281.
S. Olafsson, X. Li and S. Wu. Operations research and data mining. European Journal of the Operational Reseach, Vol. 187, No. 3, 2008, pages 1429-1448.
D. Zhang and L. Zhou, Discovering golden nuggets: Data mining in financial application. IEEE Transactions on Systems, Man, and Cybernetics - Part C, Vol. 34, No. 4, Nov. 2004, pages 513-522.

Comparison of several methods:

J. de Andres, M. Landajo and P. Lorca. Forecasting busines profitability by using classification techniques: A comparative analysis based on a Spanish case. European Journal of Operational Reseach, Vol. 167, 2005, pages 518-542.
W.K. Chiang, D. Zhang and L. Zhou. Predicting and explaining patronage behavior toward web and traditional stores using neural networks: A comparative analysis with logistic regression. Decision Support Systems, Vol. 41, No. 2, Jan. 2006, pages 514-531.
R. Linder, J. Geier, and M. Kolliker. Artificial neural networks, classification trees and regresion: Which method for which customer base? The Journal of Database Marketing & Customer Strategy Management, Vol. 11, No. 4, July 2004, pages 344-356.
Z. Huang, H. Chen, C-J. Hsu, W-H. Chen and S. Wu. Credit rating analysis with support vector machines and neural networks: A market comparative study. Decision Support Systems, Vol. 37, No. 4, Sep. 2004, pages 543-558.
Y. Liu and M. Schimann. Data mining feature selection method for credit scoring models. Journal of the Operational Research Society, Vol. 56, No. 9, 2005, pages 1099-1108.
W. Zhang, Q. Cao and M.J. Schniederjans. Neural network earnings per share forecasting models: A comparative analysis of alternative methods. Decision Sciences, Vol. 35, No. 2, May 2004, pages 205-237.