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EWCBR
2006
Springer
15 years 5 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
EWCBR
2000
Springer
15 years 5 months ago
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
An important focus of recent CBR research is on how to develop strategies for achieving compact, competent case-bases, as a way to improve the performance of CBR systems. However, ...
David B. Leake, David C. Wilson
EWCBR
2008
Springer
15 years 3 months ago
Conversational Case-Based Recommendations Exploiting a Structured Case Model
There are case-based recommender systems that generate personalized recommendations for users exploiting the knowledge contained in past recommendation cases. These systems assume ...
Quang Nhat Nguyen, Francesco Ricci
ARTMED
2006
173views more  ARTMED 2006»
15 years 1 months ago
Case-based reasoning in the health sciences
The Health Sciences provide a lively niche for case based reasoning applications. The main justification for this is that case based reasoning is a unique methodology in artificial...
Isabelle Bichindaritz
103
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FLAIRS
2004
15 years 2 months ago
Case-Based Approaches for Diagnosing Multiple Disorders
Multiple disorders are a daily problem in medical diagnosis and treatment. However, case-based diagnosis handling multiple disorders is still a challenging task. Although case-bas...
Martin Atzmüller, Joachim Baumeister, Frank P...