Article (APB:09)
Atzmueller, M.; Puppe, F. & Buscher, H.-P.
A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery
International Journal on Artificial Intelligence Tools (IJAIT),
2009, 18, 1 - 18
Inproceedings (AN:09a)
Atzmueller, M. & Nalepa, G. J.
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture
2009
Article (AN:09b)
Atzmueller, M. & Nalepa, G. J.
Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping
Technical Report 458, Institute of Computer Science, University of Würzburg,
2009
Inproceedings (AS:08b)
Atzmueller, M. & Seipel, D.
Causal Subgroup Analysis for Detecting Confounding (Extended version)
2008
Inproceedings (AS:08a)
Atzmueller, M. & Seipel, D.
Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version)
2008
Inproceedings (ABHMLP:08)
Atzmueller, M.; Beer, S.; Hörnlein, A.; Melcher, R.; Lührs, H. & Puppe, F.
Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain
2008
Inproceedings (AP:08a)
Atzmueller, M. & Puppe, F.
Semi-Automatic Refinement and Assessment of Subgroup Patterns
AAAI Press,
2008
Book (BA:08)
Baumeister, J. & Atzmueller, M. (ed.)
Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität
Institute of Computer Science, University of Würzburg,
2008
Book (Atzmueller:07)
Atzmueller, M.
Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery
IOS Press,
2007, 307
Phdthesis (Atzmueller:06)
Atzmueller, M.
Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery
Department of Computer Science, University of Würzburg,
2006
Article (ABP:05Score)
Atzmueller, M.; Baumeister, J. & Puppe, F.
Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures
Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine,
2006, 37, 19-30
Inproceedings (APB:05a)
Atzmueller, M.; Puppe, F. & Buscher, H.-P.
Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery
2005, 647-652
Inproceedings (APB:05b)
Atzmueller, M.; Puppe, F. & Buscher, H.-P.
Profiling Examiners using Intelligent Subgroup Mining
2005, 46-51
Inproceedings (PBAHB:05)
Puppe, F.; Buscher, G.; Atzmueller, M.; Huettig, M. & Buscher, H.-P.
Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult)
2005, 319–-329
Inproceedings (ASBPB:04)
Atzmueller, M.; Shi, W.; Baumeister, J.; Puppe, F. & Barnden, J. A.
Barr, V. & Markov, Z. (ed.)
Case-Based Approaches for Diagnosing Multiple Disorders
AAAI Press,
2004, 154-159
Inproceedings (ABP:04)
Atzmueller, M.; Baumeister, J. & Puppe, F.
Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases
2004, 203-213
Inproceedings (APB:04)
Atzmueller, M.; Puppe, F. & Buscher, H.-P.
Towards Knowledge-Intensive Subgroup Discovery
2004, 117-123
Inproceedings (ABP:03)
Atzmueller, M.; Baumeister, J. & Puppe, F.
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults
2003
Inproceedings (ABP:03Score)
Atzmueller, M.; Baumeister, J. & Puppe, F.
Inductive Learning of Simple Diagnostic Scores
2003, 23-30
Inproceedings (BAP:02)
Baumeister, J.; Atzmueller, M. & Puppe, F.
Inductive Learning for Case-Based Diagnosis with Multiple Faults
2002, 2416, 28-42