Telos: representing knowledge about information systems
ACM Transactions on Information Systems (TOIS)
Advances in neural information processing systems 2
Self-organizing maps
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Data mining: concepts and techniques
Data mining: concepts and techniques
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Machine Learning
Modern Information Retrieval
Incremental Iterative Retrieval and Browsingfor Efficient Conversational CBR Systems
Applied Intelligence
Case-based reasoning integrations
AI Magazine
Feature selection for high-dimensional genomic microarray data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Intelligent decision support for protein crystal growth
IBM Systems Journal - Deep computing for the life sciences
A novel gray-based reduced NN classification method
Pattern Recognition
Conceptual Modeling: Foundations and Applications
Case-Based Reasoning to explain medical model exceptions
International Journal of Advanced Intelligence Paradigms
ISOR-2: a case-based reasoning system to explain exceptional dialysis patients
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Relevance based visualization of large cancer patient populations
Proceedings of the 1st ACM International Health Informatics Symposium
Fuzzy-inferenced decisionmaking under uncertainty and incompleteness
Applied Soft Computing
MicroCBR: A case-based reasoning architecture for the classification of microarray data
Applied Soft Computing
A novel CBR system for numeric prediction
Information Sciences: an International Journal
An ensemble of case-based classifiers for high-dimensional biological domains
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Runtime estimation using the case-based reasoning approach for scheduling in a grid environment
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Operational support in fish farming through case-based reasoning
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
Biomedic Organizations: An intelligent dynamic architecture for KDD
Information Sciences: an International Journal
A framework for an intelligent decision support system: A case in pathology test ordering
Decision Support Systems
Journal of Computer and System Sciences
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Case-based reasoning (CBR) is a suitable paradigm for class discovery in molecular biology, where the rules that define the domain knowledge are difficult to obtain and the number and the complexity of the rules affecting the problem are too large for formal knowledge representation. To extend the capabilities of CBR, we propose the mixture of experts for case-based reasoning (MOE4CBR), a method that combines an ensemble of CBR classifiers with spectral clustering and logistic regression. Our approach not only achieves higher prediction accuracy, but also leads to the selection of a subset of features that have meaningful relationships with their class labels. We evaluate MOE4CBR by applying the method to a CBR system called {TA3}驴a computational framework for CBR systems. For two ovarian mass spectrometry data sets, the prediction accuracy improves from 80 percent to 93 percent and from 90 percent to 98.4 percent, respectively. We also apply the method to leukemia and lung microarray data sets with prediction accuracy improving from 65 percent to 74 percent and from 60 percent to 70 percent, respectively. Finally, we compare our list of discovered biomarkers with the lists of selected biomarkers from other studies for the mass spectrometry data sets.