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String Similarity in CBR Platforms: A Preliminary Study

  • Alice Mazzucchelli
  • Fabio Sartori
Part of the Communications in Computer and Information Science book series (CCIS, volume 478)

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.

Keywords

Case Based Reasoning XML Bankruptcy Prediction 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alice Mazzucchelli
    • 2
  • Fabio Sartori
    • 1
  1. 1.Department of Informatics, Systems and CommunicationUniversity of Milano-BicoccaMilanoItaly
  2. 2.Department of Business Administration, Finance, Management and LawUniversity of Milano-BicoccaMilanoItaly

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