-
Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014)
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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
-
Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996)
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- Abstract
- Presents an architeture for combining rule-based and case-based reasoning. It is applied to the problem of name pronunciation. Presents the system independent of the domain of name pronunciation. Describes the Anapron system, which instantiates the architecture for name pronunciation. Presents a set of experiments on Anapron, the key result being an empirical demonstration of the improvement obtained by combining rules and cases. Discusses related work
- Date
- 6. 3.1997 16:22:15
-
Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
0.02
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- Abstract
- Proposes a new architecture combining rule-based reasoning (RBR), case based reasoning (CBR) and knowledge acquisition technology in a system which solves pattern search problems. Details the pattern search problem, the system architecture and functions, error repair method via case-based reasoning, the knowledge acquisition method, system evaluation, and discusses related work
- Date
- 6. 3.1997 16:22:15
-
Veleso, M.; Munoz-Avila, H.; Bergmann, R.: Case-based planning : selected methods and systems (1996)
0.01
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- Abstract
- Describes a framework for case based planning based on the case based reasoning process model. It covers work based on the integration of a generative problem solver with a case based component. Describes case based reasoning planning systems developed at the Carnegie Mellon University, Pittsburgh
-
Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997)
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- Date
- 6. 3.1997 16:22:15
-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009)
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- Date
- 22. 8.2009 19:51:28
-
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)
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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
