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Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement, , , and . K-CAP '07: Proceedings of the 4th International Conference on Knowledge Capture, page 31-38. (2007)Interoperability of case-based training systems in medicine: The CASEPORT approach, , , , , , , and . eLearning in der Medizin und Zahnmedizin - Proceedings zum 9. Workshop der GMDS AG Computergestützte Lehr- und Lernsysteme in der Medizin, Freiburg, 13. September 2005, Quintessenz Verlags-GmbH, (2005)VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery (Demonstration Paper), and . Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology, and . Proc. LWA 2008 (Knowledge Discovery and Machine Learning Track), University of Wuerzburg, (2008)Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping, and . Technical Report 458, Institute of Computer Science, University of Würzburg, (2009)A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications, , and . Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining, , and . Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)Subgroup Mining for Interactive Knowledge Refinement, , , , and . Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05), page 453--462. (2005)Quality Measures and Semi-Automatic Mining of Diagnostic Rule Bases (extended version), , and . Proc. 15th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004), 3392, page 65--78. (2005)Towards Knowledge-Intensive Subgroup Discovery, , and . Proc. LWA 2004 Workshop, Germany, page 117--123. (2004)