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Titlebook: Case-Based Reasoning Research and Development; 8th International Co Lorraine McGinty,David C. Wilson Conference proceedings 2009 Springer-V

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Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Featuresnovel, . time series retrieval framework, based on . (TA). Our framework allows for ., according to two ., namely a taxonomy of (trend or state) symbols, and a variety of time granularities. Moreover, we allow for ., where queries can be expressed at any level of detail in both dimensions, also in a
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On Similarity Measures Based on a Refinement LatticeDL). In this paper we present an approach that allows us to present two similarity measures for feature logics, a subfamily of DLs, based on the concept of .. The first one is based on computing the anti-unification (AU) of two cases to assess the amount of shared information. The second measure dec
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An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation andase representation and retrieval. This paper is an overview of the DDAM model outlining its rationale, some of its design principles and its similarities with existing models and approaches. The paper will also report on a selection of experimental results.
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Black Swans, Gray Cygnets and Other Rare Birdsis not unreasonable to be surprised by a black swan, to be surprised by subsequent cases that are similar enough that they might cause the same sort of upheaval is unforgivable. The problem is how to reason about these almost novel, not totally unforeseen, subsequent cases that I call ..
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An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation andase representation and retrieval. This paper is an overview of the DDAM model outlining its rationale, some of its design principles and its similarities with existing models and approaches. The paper will also report on a selection of experimental results.
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https://doi.org/10.1007/978-3-642-02998-1Ada; CBR agents; Cluster; agents; algorithms; ambient intelligence; automatic case generation; case similar
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Oracle Application Express by Designicit knowledge captured as individual experiences for problem-solving. Instead, the collective knowledge of the case base provides additional implicit knowledge that may be exploited to improve traditional case-based reasoning systems through additional knowledge containers and to provide a new form
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