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  • × theme_ss:"Case Based Reasoning"
  1. Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014) 0.04
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    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.
    Pages
    S.22-29
    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  2. Kolodner, J.: Case-based reasoning (1993) 0.01
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    Content
    Pt.1: Background: waht is CBR? Case studies of several case-based reasoners. Reasoning using cases. The cognitive model. Pt.2: The case library: representing and indexing cases. Indexing vocabulary. Methods for index selection. Pt.3: Retrieving cases from the case library. Organizational structures and retrieval algorithms. Matching and ranking cases. Indexing and retrieval. Pt.4: Using cases. Adaptation methods and strategies. Controlling adaptation. Using cases for interpretation and evaluation. Pt.5: Pulling it all together. Building a case-based reasoner. Conclusions, opportunities, challenges. Appendix: A case library of case-based reasoning systems
  3. Veleso, M.; Munoz-Avila, H.; Bergmann, R.: Case-based planning : selected methods and systems (1996) 0.01
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  4. Tsatsaoulis, C.; Cheng, Q.; Wei, H.-Y.: Integrating case-based reasoning and decision theory (1997) 0.00
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  5. Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993) 0.00
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    Source
    Information processing and management. 29(1993) no.2, S.209-214
  6. Mataras, R.L.D.; Plaza, E.: Case-based reasoning : an overview (1997) 0.00
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    Source
    AI communications. 10(1997) no.1, S.21-29
  7. Mahapatra, R.; Sen, A.: Case base management systems : providing database support to case-based reasoners (1994) 0.00
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    Source
    Journal of database management. 5(1994) no.2, S.19-29
  8. Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.00
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    Date
    6. 3.1997 16:22:15
  9. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.00
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    Date
    6. 3.1997 16:22:15
  10. Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.00
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    Date
    6. 3.1997 16:22:15
  11. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.00
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    Date
    22. 8.2009 19:51:28
  12. Akerele, O.; David, A.; Osofisan, A.: Using the concepts of Case Based Reasoning and Basic Categories for enhancing adaptation to the user's level of knowledge in Decision Support System (2014) 0.00
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik