Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2009),
'A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery', International Journal on Artificial Intelligence Tools (IJAIT)
18
(1)
, 1 -- 18
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Atzmueller, M. & Nalepa, G. J. (2009),
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture, in
'Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted'
.
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Atzmueller, M. & Nalepa, G. J. (2009),
'Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping', Technical Report 458, Institute of Computer Science, University of Würzburg
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Atzmueller, M. & Puppe, F. (2008),
'A Case-Based Approach for Characterization and Analysis of Subgroup Patterns', Journal of Applied Intelligence
28
(3)
, 210-221
.
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Atzmueller, M. & Seipel, D. (2008),
Causal Subgroup Analysis for Detecting Confounding (Extended version), in
'Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted'
.
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Atzmueller, M. & Seipel, D. (2008),
Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version), in
'Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted'
.
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Atzmueller, M.; Beer, S.; Hörnlein, A.; Melcher, R.; Lührs, H. & Puppe, F. (2008),
Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain, in
'Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems'
.
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Baumeister, J. & Atzmueller, M., ed.
(2008),
Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität
, Institute of Computer Science, University of Würzburg
.
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Atzmueller, M.
(2007),
Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery
, Vol. 307
, IOS Press
.
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Atzmueller, M.; Baumeister, J. & Puppe, F. (2006),
'Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures', Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine
37
(1)
, 19--30
.
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Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2005),
Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery, in
'Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI-05)'
, pp. 647--652
.
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Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2005),
Profiling Examiners using Intelligent Subgroup Mining, in
'Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2005)'
, pp. 46--51
.
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Atzmueller, M.; Baumeister, J.; Hemsing, A.; Richter, E.-J. & Puppe, F. (2005),
Subgroup Mining for Interactive Knowledge Refinement, in
'Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05)'
, pp. 453--462
.
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Puppe, F.; Buscher, G.; Atzmueller, M.; Huettig, M. & Buscher, H.-P. (2005),
Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult), in
'Professional Knowledge Management'
, pp. 319–-329
.
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Atzmueller, M.; Shi, W.; Baumeister, J.; Puppe, F. & Barnden, J. A. (2004),
Case-Based Approaches for Diagnosing Multiple Disorders, in
Valerie Barr & Zdravko Markov, ed.,
'Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004)'
, AAAI Press,
, pp. 154--159
.
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Atzmueller, M.; Baumeister, J. & Puppe, F. (2004),
Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases, in
'Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004)'
, pp. 203--213
.
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Atzmueller, M.; Puppe, F. & Buscher, H.-P. (2004),
Towards Knowledge-Intensive Subgroup Discovery, in
'Proc. LWA 2004 Workshop, Germany'
, pp. 117--123
.
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Atzmueller, M.; Baumeister, J. & Puppe, F. (2003),
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults, in
'Proc. 2nd Conf. Professional Knowledge Management (WM2003)'
.
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Atzmueller, M.; Baumeister, J. & Puppe, F. (2003),
Inductive Learning of Simple Diagnostic Scores, in
'Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis (ISMDA 2003), LNCS 2868'
, pp. 23-30
.
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Baumeister, J.; Atzmueller, M. & Puppe, F. (2002),
Inductive Learning for Case-Based Diagnosis with Multiple Faults, in
'Advances in Case-Based Reasoning'
, pp. 28-42
.
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