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» Case-Based Reasoning: Concepts, Features and Soft Computing
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APIN
2004
86views more  APIN 2004»
13 years 4 months ago
Case-Based Reasoning: Concepts, Features and Soft Computing
Here we first describe the concepts, components and features of CBR. The feasibility and merits of using CBR for problem solving is then explained. This is followed by a descriptio...
Simon C. K. Shiu, Sankar K. Pal
IBERAMIA
2004
Springer
13 years 10 months ago
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
Florentino Fdez-Riverola, Fernando Díaz, Ju...
ICCBR
2007
Springer
13 years 10 months ago
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering
In this paper, we compare case-based spam filters, focusing on their resilience to concept drift. In particular, we evaluate how to track concept drift using a case-based spam fi...
Sarah Jane Delany, Derek G. Bridge
EWCBR
2000
Springer
13 years 8 months ago
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Danie...
OTM
2004
Springer
13 years 10 months ago
Cases and Dialectical Arguments - An Approach to Case-Based Reasoning
Case-based reasoning in the law is a reasoning strategy in which legal conclusions are supported by decisions made by judges. If the case at hand is analogous to a settled case, th...
Bram Roth, Bart Verheij