Classifying non-banking financial institutions based on their financial performance

Alhoniemi, E., Hollmen, J., Simula, O., & Vesanto, J. (1999). Process Monitoring and Modeling Using the Self-Organising Map. Integrated Computer-Aided Engineering, 6(1), 3-14.10.3233/ICA-1999-6102Search in Google Scholar

Back, B., Sere, K., & Vanharanta, H. (1996). Data Mining Accounting Numbers Using Self Organising Maps. In J. Alander, T. Honkela, M. Jakobsson (eds.), Proceedings of Finnish Artificial Intelligence Society Conference, 35-47. Vaasa, Finland.Search in Google Scholar

Back, B., Sere, K., & Vanharanta, H. (1998). Managing Complexity in Large Databases Using Self-Organizing Maps. Accounting Management and Information Technologies, 8(4), 191-210.10.1016/S0959-8022(98)00009-5Search in Google Scholar

Cerna, S., Donath, L., Seulean, V., Herbei, M., Bărglăzan, D., Albulescu, C., & Boldea, B. (2008). Financial Stability. Timişoara: West University Publishing House.Search in Google Scholar

Costea, A. (2005). Computational Intelligence Methods for Quantitative Data Mining. TUCS PhD dissertation No. 67, Åbo Akademi University, Turku, Finland.Search in Google Scholar

Costea, A. (2006). The Analysis of the Telecommunications Sector by the Means of Data Mining Techniques. Journal of Applied Quantitative Methods (JAQM), 1(2), 144-150.Search in Google Scholar

Costea, A. (2013). Performance benchmarking of non-banking financial institutions by means of Self-Organising Map algorithm. East-West Journal of Economics and Business, XVI(1), 37-58.Search in Google Scholar

Costea, A., & Bleotu, V. (2012). A new fuzzy clustering algorithm for evaluating the performance of non-banking financial institutions in Romania. Economic Computation and Economic Cybernetics Studies and Research, 46(4), 179-199.Search in Google Scholar

Costea, A., & Eklund, T. (2003). A Two-Level Approach to Making Class Predictions. In RH. Sprague Jr. (ed.), Proceedings of 36^th Annual Hawaii International Conference on System Sciences (HICSS 2003) (9 pages). IEEE Computer Society, Hawaii, USA, January 6-9, 2003, Track: Decision Technologies for Management, Minitrack: Intelligent Systems and Soft Computing, ISBN: 0-7695-1874-5.Search in Google Scholar

Eklund, T., Back B., Vanharanta, H., & Visa, A. (2003). Financial Benchmarking Using Self-Organising Maps – Studying the International Pulp and Paper Industry. In J. Wang J. (ed.), Data Mining - Opportunities and Challenges (Chapter 14 – pp. 323-349). Hershey, PA: Idea Group Publishing.Search in Google Scholar

Karlsson, J., Back, B., Vanharanta, H., & Visa, A. (2001). Financial Benchmarking of Telecommunications Companies. TUCS Technical Report, No. 395.Search in Google Scholar

Kohonen, T. (1997). Self-Organising Maps (2^nd ed.). Heidelberg: Springer-Verlag.10.1007/978-3-642-97966-8Search in Google Scholar

Kohonen, T., Hynninen, J., Kangas, J., & Laaksonen, J. (1996). SOM_PAK: The Self-Organising Map Program Package. Helsinki University of Technology, Report A31, Otaniemi.Search in Google Scholar

Lehtinen, J. (1996). Financial Ratios in an International Comparison. Validity and Reliability. Acta Wasaensia 49, Vaasa, Finland.Search in Google Scholar

Martín-del-Brío, B., & Serrano Cinca, C. (1993). Self Organizing Neural Networks for the Analysis and Representation of Data: some Financial Cases. Neural Computing & Applications, Springer Verlag (ed.), 1(2), 193-206.10.1007/BF01414948Search in Google Scholar

Moinescu, B., & Costea, A. (2014). Towards an early-warning system of distressed non-banking financial institutions. Economic Computation and Economic Cybernetics Studies and Research, 48(2), 75-90.Search in Google Scholar

Serrano Cinca, C. (1996). Self Organising Neural Networks for Financial Diagnosis. Decision Support Systems, 17, 227-238.10.1016/0167-9236(95)00033-XSearch in Google Scholar

Serrano Cinca, C. (1998a). SOM as a tool for Initial Data Analysis (Let Financial Data Speak for Themselves). In G. Deboeck, T. Kohonen (eds.), Visual Intelligence in Finance: withg Self-organising Maps (pp. 4-17). Berlin: Springer Verlag.10.1007/978-1-4471-3913-3_1Search in Google Scholar

Serrano Cinca, C. (1998b). From Financial Information to Strategic Groups - a Self Organising Neural Network Approach. Journal of Forecasting, 17, 415-428.10.1002/(SICI)1099-131X(1998090)17:5/6<415::AID-FOR705>3.0.CO;2-XSearch in Google Scholar

Ultsch, A. (1993). Self organized feature maps for monitoring and knowledge aquisition of a chemical process. In S. Gielen, B. Kappen (eds.), Proceedings of the International Conference on Artificial Neural Networks (ICANN93) (pp. 864-867). London: Springer-Verlag.Search in Google Scholar