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  • × theme_ss:"Case Based Reasoning"
  1. 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) 0.04 
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    Date
    5. 9.2014 13:03:13
    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
  2. Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.01 
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    Date
    6. 3.1997 16:22:15
  3. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.01 
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    Date
    6. 3.1997 16:22:15
  4. Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.01 
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    Date
    6. 3.1997 16:22:15
  5. Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014) 0.01 
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    Pages
    S.22-29
  6. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.01 
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    Date
    22. 8.2009 19:51:28
  7. Mahapatra, R.; Sen, A.: Case base management systems : providing database support to case-based reasoners (1994) 0.01 
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    Source
    Journal of database management. 5(1994) no.2, S.19-29
  8. 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
  9. Althoff, K.-D.; Wess, S.; Manago, M.; Bergmann, R.; Maurer, F.; Auriol, E.; Conruyt, N.; Traphöner, R.; Bräuer, M.; Dittrich, S.: Induction and case-based reasoning for classification tasks (1994) 0.01 
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    Source
    Information systems and data analysis: prospects - foundations - applications. Proc. of the 17th Annual Conference of the Gesellschaft für Klassifikation, Kaiserslautern, March 3-5, 1993. Ed.: H.-H. Bock et al
  10. Rissland, E.L.; Daniels, J.J.: ¬The synergistic application of CBR to IR (1996) 0.01 
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    Source
    Artificial intelligence review. 10(1996) nos.5/6, S.441-475
  11. He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1124-1136

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