Search (17 results, page 1 of 1)

  • × theme_ss:"Case Based Reasoning"
  • × language_ss:"e"
  1. Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014) 0.00
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    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. 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
  3. 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
    Source
    Artificial intelligence. 87(1996) nos.1/2, S.215-254
  4. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.00
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    Date
    6. 3.1997 16:22:15
    Source
    Artificial intelligence. 90(1997) nos.1/2, S.25-77
  5. 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
    Source
    Artificial intelligence. 91(1997) no.1, S.85-101
  6. 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
  7. Dearden, A.M.; Harrison, M.D.: Abstract models for HCI (1997) 0.00
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    Source
    International journal of human-computer studies. 46(1997) no.1, S.151-177
  8. 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
  9. 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
  10. Ozturk, P.; Aamodt, A.: ¬A context model for knowledge-intensive case-based reasoning (1998) 0.00
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    Source
    International journal of human-computer studies. 48(1998) no.3, S.331-355
  11. Ress, D.A.; Young, R.E.: ¬A distributed fuzzy constraint satisfaction system with context-based reasoning (1998) 0.00
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    Source
    International journal of human-computer studies. 48(1998) no.3, S.393-407
  12. Issues and applications of case-based reasoning in design (1997) 0.00
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    Isbn
    0-8058-2313-1
  13. Löckenhoff, H.: Case-Based Teaching/Learning for issue orientation and control (1996) 0.00
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    Source
    Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
  14. Kolodner, J.: Case-based reasoning (1993) 0.00
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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
    Isbn
    1-55860-237-2
  15. Aamodt, A.; Plaza, E.: Case-based reasoning : foundation issues, methodological variations, and systems approaches (1994) 0.00
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    Source
    AI communications. 7(1994) no.1, S.39-59
  16. He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017) 0.00
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    Abstract
    This article reports on a longitudinal analysis of query logs of a web-based case library system during an 8-year period (from 2005 to 2012). The analysis studies 3 different information-seeking approaches: keyword searching, browsing, and case-based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information-seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information-seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1-time users and tend to use more query terms to look for information than 1-time users.
  17. He, W.; Erdelez, S.; Wang, F.-K.; Shyu, C.-R.: ¬The effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval system (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.1, S.294-309