Abstract
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.
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References
Kolodner, J.: Case Based Reasoning. Morgan Kaufmann Pu., San Mateo (1993)
Craw, S., Wiratunga, N., Rowe, R.: Case-Based Design for Tablet Formulation. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 358–369. Springer, Heidelberg (1998)
Montani, S., Portinale, L., Leonardi, G., Bellazzi, R., Bellazzi, R.: Case-based retrieval to support the treatment of end stage renal failure patients. Artificial Intelligence in Medicine 37(1), 31–42 (2006)
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)
Wilke, W., Bergmann, R.: Incremental Adaptation with the INRECA-System. In: ECAI 1996 Workshop on Adaptation in Case-Based Reasoning (1996)
Plaza, E., Arcos, J.L.: Constructive Adaptation. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 306–320. Springer, Heidelberg (2002)
Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A., Sánchez-Ruiz, A.A.: Building CBR systems with jCOLIBRI. Journal Science of Computer Programming 69, 1–3 (2007)
Bergmann, R., Stahl, A.: Similarity Measures for Object-Oriented Case Representations. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 25–36. Springer, Heidelberg (1998)
Manenti, L., Sartori, F.: Metadata support to retrieve and revise solutions in case-based reasoning. IJMSO 6(3/4), 185–194 (2011)
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)
Aho, A.V., Hopcroft, J.E., Ullman, J.D.: On Finding Lowest Common Ancestors in Trees. SIAM J. Comput. 5(1), 115–132 (1976)
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)
Bryant, S.M.: A case-based reasoning approach to bankruptcy prediction modeling. Int. Syst. in Accounting, Finance and Management 6(3), 195–214 (1997)
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Mazzucchelli, A., Sartori, F. (2014). String Similarity in CBR Platforms: A Preliminary Study. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-319-13674-5_3
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DOI: https://doi.org/10.1007/978-3-319-13674-5_3
Publisher Name: Springer, Cham
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