참고문헌
- Aamodt, A. Plaza, E., "Case-based reasoning: foundational issues, methodological variations, and system approaches", AI communications: the European journal on artificial intelligence, Vol.7, No 1, (1994), 39-59.
- Ahn, H., K.J. Kim., "Bankruptcy prediction modeling with hybrid case-basedreasoning and genetic algorithms approach", Appl. Soft Comput. Vol 9, No 2, (2009), 599-607. https://doi.org/10.1016/j.asoc.2008.08.002
- Borrajo, M.L., J.M. Corchado, E.S. Corchado, M.A. Pellicer, J. Bajo. "Multi-agentneural business control system", Inf. Sci. 180, (2010), 911-927. https://doi.org/10.1016/j.ins.2009.11.028
- Cao, Q., Leggio, K.B., Schniederjans, M.J. "A comparison between Fama andFrench's model and artificial neural networks in predicting the Chinese stockmarket", Comput. Oper. Res. 32, (2005), 2499-2512. https://doi.org/10.1016/j.cor.2004.03.015
- Chen, A.-S., Leung, M.T., Daouk, H. "Application of neural networks to anemerging financial market: forecasting and trading the Taiwan Stock Index", Comput. Oper. Res. 30, (2003). 901-923. https://doi.org/10.1016/S0305-0548(02)00037-0
- Chun, Se-Chul, Jin Kim, Ki-Baik Hahm, Yoon-Joo Park., Se-Hak Chun. "Data mining technique for medical informatics: detecting gastric cancer using case-based reasoning and single nucleotide polymorphisms", Expert Systems, (2008), Vol.25, No 2, 163-172. https://doi.org/10.1111/j.1468-0394.2008.00446.x
- Chun, Se-Hak, Steven H. Kim. "Data mining for financial prediction and trading: application to single and multiple markets", Expert Systems with Applications, (2004a). Vol.26, No 2, 131-139. https://doi.org/10.1016/S0957-4174(03)00113-1
- Chun, Se-Hak, Steven H. Kim. "Automated generation of new knowledge to support managerial decision making: case study in forecasting a stock market", Expert Systems, (2004b), Vol.21, No 4, 192-207. https://doi.org/10.1111/j.1468-0394.2004.00277.x
- Chun, S.H., Y.J. Park. "Dynamic adaptive ensemble case-based reasoning: application to stock market prediction", Expert Syst. Appl. (2005). Vol 28, No. 3, 435-443. https://doi.org/10.1016/j.eswa.2004.12.004
- Chun, S.H., Y.J. Park. "A new hybrid data mining technique using a regressioncase based reasoning: application to financial forecasting", Expert Syst. Appl. (2006). Vol 31, No 2, 329-336. https://doi.org/10.1016/j.eswa.2005.09.053
- Dutta, S., Shekkar, S. Bond rating. A non-conservative application of neural networks. International Joint Conference on Neural Networks, 2, (1988). 443-450.
- Gong, X. , Si, Y.-W. , Fong, S. , Biuk-Aghai, R. P. "Financial time series pattern matching with extended ucr suite and support vector machine", Expert Systems with Applications, (2016). 55, 284-296. https://doi.org/10.1016/j.eswa.2016.02.017
- Huang, W., Nakamori, Y., Wang, S.-Y., "Forecasting stock market movementdirection with support vector machine", Comput. Oper. Res. (2005). 32, 2513-2522. https://doi.org/10.1016/j.cor.2004.03.016
- Hassan, M. R., Nath, B., and Kirley, M. "A fusionmodel ofhmm, annand gafor stock market forecasting", Expert systems with Applications, (2007). 33, 171-180. https://doi.org/10.1016/j.eswa.2006.04.007
- Hu, Z., Zhu, J., Tse, K. "Stocks market prediction using support vector machine", IEEE. 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering, (2013). 115-118, 2.
- Huang, C.-F. "A hybrid stock selection model using genetic algorithms and support vector regression", Applied Soft Computing, (2012). 12, 807-818. https://doi.org/10.1016/j.asoc.2011.10.009
- Jo, H., I. Han, H. Lee, "Bankruptcy prediction using case-based reasoning, neural networks and discriminant analysis", Expert Syst. Appl. 13 (2) (1997) 97-108. https://doi.org/10.1016/S0957-4174(97)00011-0
- Kim, K.J., I. Han, "Maintaining case-based reasoning systems using a geneticalgorithms approach", Expert Syst. Appl. 21 (2001) 139-145. https://doi.org/10.1016/S0957-4174(01)00035-5
- Kim Steven H, Chun, Se Hak. "Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index", International Journal of Forecasting, (1998). Vol 14: 323-337. https://doi.org/10.1016/S0169-2070(98)00003-X
- Kim, K. "Toward global optimization of case-based reasoning systems for financial forecasting", Appl. Intell. (2004) 21 (3) 239-249. https://doi.org/10.1023/B:APIN.0000043557.93085.72
- Kim, K., Han, I. "Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index", Expert Systems with Applications, (2000). Vol.19, 125-132. https://doi.org/10.1016/S0957-4174(00)00027-0
- Kodogiannis, V., Lolis, A. "Forecasting financial time series using neuralnetwork and fuzzy system-based techniques", Neural Computing & Applications, (2002). 11, 90-102. https://doi.org/10.1007/s005210200021
- Li, H. J. Sun, J. Wu, X.J. Wu. "Supply chain trust diagnosis (SCTD) using inductivecase-based reasoning ensemble (ICBRE): the case of general competence trustdiagnosis", Appl. Soft Comput. (2012). 12 (8) 2312-2321. https://doi.org/10.1016/j.asoc.2012.03.029
- Liao TW, Zhang ZM, Mount CR. "A case-based reasoning system for identifying failure mechanisms", Engineering Applications of Artificial Intelligence (2000). 13:199-213. https://doi.org/10.1016/S0952-1976(99)00052-4
- Lima, J., R. Francisco, L. Osiro, L.C.R. Carpinetti, "A fuzzy inference andcategorization approach for supplier selection using compensatory and noncompensatory decision rules", Appl. Soft Comput. (2013), http://dx.doi.org/10.1016/j.asoc.2013.06.020.
- Lin, Y., Guo, H., Hu, J. "An svm-based approach for stock market trend prediction", IEEE. Neural Networks (IJCNN), The 2013 International Joint Conference on, (2013). 1-7.
- Li, H., Sun, J., Sun, B.-L. "Financial distress prediction based on or-cbr in theprinciple of k-nearest neighbors", Expert Systems with Applications, (2009). 36, 643-659. https://doi.org/10.1016/j.eswa.2007.09.038
- Li, H., J. Sun, "Gaussian case-based reasoning for business failure prediction with empirical data in China", Inf. Sci. (2009). 179: 89-108. https://doi.org/10.1016/j.ins.2008.09.003
- Liao TW, Zhang ZM, Mount CR. "A case-based reasoning system for identifying failure mechanisms", Engineering Applications of Artificial Intelligence 2000;13:199-213. https://doi.org/10.1016/S0952-1976(99)00052-4
- Pereira, I., A. Madureira. "Self-optimization module for scheduling using casebased reasoning", Appl. Soft Comput. (2013). 13 (3) 1419-1432 https://doi.org/10.1016/j.asoc.2012.02.009
- Park, Y.J., E. Choi, S.H. Park. "Two-step filtering datamining method integrating case-based reasoning and rule induction", Expert Syst. Appl. (2009). 36 (1) 861-871. https://doi.org/10.1016/j.eswa.2007.10.036
- Shin, K.S. and I. Han. "A case-based approach using inductive indexing for corporatebond rating" Decision Support Syst. (2001). 32 (1) 41-52. https://doi.org/10.1016/S0167-9236(01)00099-9
- Tay, F.E.H., Cao, L., "Application of support vector machines in financial timeseries forecasting", Omega (2001). 29, 309-317. https://doi.org/10.1016/S0305-0483(01)00026-3
- Teixeira, L. A., De Oliveira, A. L. I. "A method for automatic stock tradingcombining technical analysis and nearest neighbor classification", Expert Systems with Applications, (2010). 37, 6885-6890. https://doi.org/10.1016/j.eswa.2010.03.033
- Thirunavukarasu, P. "Estimation of return on investment in share market through ANN", Global Journal of Finance and Management, (2009). 1, 113-122.
- Xi, L., Muzhou, H., Lee, M. H., Li, J., Wei, D., Hai, H., Wu, Y. "A new constructive neural network method for noise processing and its application on stock market prediction", Applied Soft Computing, (2014). 15, 57-66. https://doi.org/10.1016/j.asoc.2013.10.013
- Yip, A. Y. N. "Predicting business failure with a case-based reasoning approach", In M. G. Negoita, R. J. Howlett, L. C. Jain (Eds.), Knowledge-based intelligent information and engineering systems: 8th international conference, KES (2004). Proceedings Part III (pp.20-25).
- Yu, H., Chen, R., Zhang, G. "A svm stock selection model within pca", Procedia Computer Science, (2014). 31, 406-412. https://doi.org/10.1016/j.procs.2014.05.284
- Zhang, Y., Shen, W. "Stock yield forecast based on ls-svm in bayesian inference", IEEE. Future Computer and Communication, 2009. FCC'09. International Conference on, (2009). 8-11.
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