String Similarity in CBR Platforms: A Preliminary Study
Case Based Reasoning is a very important research trend in Artificial Intelligence and can be a powerful approach in the solution of complex problems characterized by heterogeneous knowledge. In this paper we present an ongoing research project where CBR is exploited to support the identification of enterprises potentially going to bankruptcy, through a comparison of their balance indexes with the ones of similar and already closed firms. In particular, the paper focuses on how developing similarity measures for strings can be profitably supported by metadata models of case structures and semantic methods like Query Expansion.
KeywordsCase Based Reasoning XML Bankruptcy Prediction
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- 1.Kolodner, J.: Case Based Reasoning. Morgan Kaufmann Pu., San Mateo (1993)Google Scholar
- 4.Bandini, S., Colombo, E., Frisoni, G., Sartori, F., Svensson, J.: Case-Based Troubleshooting in the Automotive Context: the SMMART Project. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 600–614. Springer, Heidelberg (2008)CrossRefGoogle Scholar
- 5.Wilke, W., Bergmann, R.: Incremental Adaptation with the INRECA-System. In: ECAI 1996 Workshop on Adaptation in Case-Based Reasoning (1996)Google Scholar
- 10.Cohen, W.W., Ravikumar, P.D., Fienberg, S.E.: A Comparison of String Distance Metrics for Name-Matching Tasks. In: IIWeb 2003, pp. 73–78 (2003)Google Scholar
- 12.Fersini, E., Sartori, F.: Semantic storyboard of judicial debates: a novel multimedia summarization environment. Program: Electronic Library and Information Systems 46(2), 199–219 (2012)Google Scholar
- 13.Bryant, S.M.: A case-based reasoning approach to bankruptcy prediction modeling. Int. Syst. in Accounting, Finance and Management 6(3), 195–214 (1997)Google Scholar