Assessing The Performance Of Non-Banking Financial Institutions – A Knowledge Discovery Approach
This paper proposes a framework for assessing the performance of non-banking financial institutions (NFIs). Firstly, we present an overview of the non-banking financial institutions’ sector in Romania and, then, the CAAMPL system which is used to evaluate the performance of banks. We argue that this system is suboptimal when applied to assessing NFIs’ performance and that the Knowledge Discovery in Databases (KDD) process could offer specific methods that may be used to developing better systems. Next, we discuss different concepts that are closely related with the KDD process: data, information and knowledge. Finally, we present the KDD process and we show how our research problem can be formalized as a KDD process.
Volume (Year): 3 (2011)
Issue (Month): 39 ()
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x.
- Liliana Eva Donath & Laura Mariana Cismas, 2008. "Determinants of Financial Stability," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 11(29), pages 27-44, (3).
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