Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
International Journal of Man-Machine Studies - Special issue: symbolic problem solving in noisy and novel task environments
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Knowledge reuse among diagnostic problem-solving methods in the shell-kit D3
International Journal of Human-Computer Studies
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case-Based Reasoning: Survey and Future Directions
XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions
Exploiting background knowledge for knowledge-intensive subgroup discovery
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Artificial Intelligence in Medicine
Experience management: foundations, development methodology, and internet-based applications
Experience management: foundations, development methodology, and internet-based applications
Subgroup mining for interactive knowledge refinement
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Active subgroup mining: a case study in coronary heart disease risk group detection
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Describing locations using tags and images: explorative pattern mining in social media
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
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In general, cases capture knowledge and concrete experiences of specific situations. By exploiting case-based knowledge for characterizing a subgroup pattern, additional information about the subgroup objects can be provided. This paper proposes a case-based approach for characterizing and analyzing subgroup patterns: It presents techniques for retrieving characteristic factors and a set of corresponding cases for the inspection and analysis of a specific subgroup pattern. Then, the set of factors and cases are merged into prototypical cases for presentation to the user. Such an alternative view on the subgroup pattern provides important introspective information on the subgroup objects, that is, the cases covered by the subgroup description: Using drill-down techniques, the user can perform a detailed introspection of a subgroup pattern using prototypical pattern cases. Additionally, these enable a convenient retrieval of interesting (meta-)information associated with the respective subgroup objects.