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  • × theme_ss:"Case Based Reasoning"
  1. Czap, H.: Einführung in Wissensorganisation und Case-Based Reasoning (1996) 0.04
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    Abstract
    CBR ist eng gekoppelt mit Lernen, verstanden als Anreicherung von Wissen. Wissen wird unterteilt in Faktenwissen und Handhabungs-/Orientierungswissen. Letzteres verfügbar zu haben wird als primäres Ziel von Lernen und damit auch von CBR herausgearbeitet. Die Übertragbarkeitsproblematik, d.h. die Nutzung von gespeichertem Erfahrungswissen (alte Fälle und ihre Lösungen) zur Lösung neuer Problemstellungen wird an einem eingängigen Beispiel (Dunckers Bestrahlungsproblem illustriert). Abschließend wird der CBR-Zyklus kurz vorgestellt
  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. 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) 0.01
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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