RELARM: рейтинговая модель на основе относительных РСА-атрибутов и k-кластеризации

Novotná M. 2012. The use of different approaches for credit rating prediction and their comparison. 6th International Scientific Conference Managing and Modelling of Financial Risk. VŠB-TU Ostrava
Chen H., Chen Y. 2010. A comparative study of discrimination methods for credit scoring. Computers and Industrial Engineering (CIE), 2010 40th International Conference on: 1-5. DOI: 10.1109/ICCIE.2010.5668170
Huang S.C., Day M.Y. 2013. A Comparative Study of Data Mining Techniques for Credit Scoring in Banking. Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on: 684-691. DOI: 10.1109/IRI.2013.6642534
Hsu C.F., Hung H.F. 2009. Classification methods of Credit Rating – A Comparative Analysis on SVM, MDA and RST. Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on: 1-4. DOI: 10.1109/CISE.2009.5366068
Hongli, Junchen. 2010. The Credit Rating of Small and Medium-sized Enterprises Based on the Grey Hierarchy Evaluation Model. The 2nd International Conference on Information Science and Engineering: 3247-3250. DOI: 10.1109/ICISE.2010.5689927
Wang H. 2011. Rating of Credit Risk Utilizing Improved GRA with Compound Weight. Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on: 3196-3200. DOI: 10.1109/AIMSEC.2011.6011178
Lou C., Peng Y., Kou G., Ge X. 2010. DMCDM: A dynamic multi criteria decision making model for sovereign credit default risk evaluation. Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on: 489 – 494
The Listed Company's Credit Rating Based on Logistic Regression Model Add non-financial Factors Wei Y., Xu S., Meng F. 2010. The Listed Company's Credit Rating Based on Logistic Regression Model Add non-financial Factors. Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on: 172-175. DOI: 10.1109/WMSVM.2010.69
9. Sohn S.Y., Kim D.H., Yoon J.H. Technology credit scoring model with fuzzy logistic regression // Applied Soft Computing. – 2016. – № 43. – С. 150-158. – doi: 10.1016/j.asoc.2016.02.025.
10. Fernandez-Navarro F., Campoy-Munoz P., Paz-Marin M, Hervas-Martinez C., Yao X. Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach // IEEE Transactions on Cybernetics. – 2013. – № 43. – С. 2228-2240. – doi: 10.1109/TSMCC.2013.2247595.
11. Chen W., Li JM. A model based on factor analysis and support vector machine for credit risk identification in small-and-medium enterprises // International Conference on Machine Learning and Cybernetics. – 2009. – С. 913-918. – doi: 10.1109/ICMLC.2009.5212433.
Jilani T.A., Burney S.M.A. 2008. Multiclass Bilateral-Weighted Fuzzy Support Vector Machine to Evaluate Financial Strength Credit Rating. Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on: 342-348. DOI: 10.1109/ICCSIT.2008.191
Gangolf C, Dochow R, Schmidt G, Tamisier T. 2014. SVDD: A proposal for automated credit rating prediction. Control, Decision and Information Technologies (CoDIT), 2014 International Conference on: 048-053. DOI: 10.1109/CoDIT.2014.6996866
Liu C, Xia X. 2010. The credit rating of small and medium enterprises based on neural network. Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on: 1-4. DOI: 10.1109/IEEC.2010.5533285
Xiang D. 2010. The Listed Company's Financial Evaluation Based on PCA-Logistic Regression Model. Multimedia and Information Technology (MMIT), 2010 Second International Conference on: 168-171. DOI: 10.1109/MMIT.2010.148
Xue X-h, Xue X-f. 2010. Research of electronic commercial credit rating based on Neural Network with Principal Component Analysis. Internet Technology and Applications, 2010 International Conference on: 1-4. DOI: 10.1109/ITAPP.2010.5566121
Jianfeng L, Tianshan M. 2010. An Comprehensive Rating Model of Manufacturing Enterprise's Credit Risk Based on Logistics Finance. 2010 International Conference on Computer Application and System Modeling (ICCASM 2010): V15-290 -V15-293. DOI: 10.1109/ICCASM.2010.5622102
Zhang M., Zhou Z. A Credit Rating Model for Enterprises Based on Principal Component Analysis and Optimal Partition // Emergency Management and Management Sciences (ICEMMS): DOI: 10.1109/ICEMMS.2010.5563423. 2010. – С. 379-382.– doi: 10.1109/ICEMMS.2010.5563423.
19. Parikh D., Grauman K. Relative Attributes // Proceedings of the International Conference on Computer Vision. – 2011. – С. 503-510.
20. Lloyd S.P. Least Squares Quantization in PCM // IEEE Transactions on Information Theory. – 1982. – № 28. – С. 129-137.
Arthur D, Vassilvitskii S. 2007. K-means++: The Advantages of Careful Seeding. SODA ‘07: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms: 1027–1035