%0 %0 Journal Article %A Atzmueller, Martin; Puppe, Frank & Buscher, Hans-Peter %D 2009 %T A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery %E %B International Journal on Artificial Intelligence Tools (IJAIT) %C %I %V 18 %6 %N 1 %P 1 -- 18 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F APB:09 %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin & Nalepa, Grzegorz J. %D 2009 %T A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture %E %B Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F AN:09a %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Journal Article %A Atzmueller, Martin & Nalepa, Grzegorz J. %D 2009 %T Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping %E %B Technical Report 458, Institute of Computer Science, University of Würzburg %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F AN:09b %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Journal Article %A Atzmueller, Martin & Puppe, Frank %D 2008 %T A Case-Based Approach for Characterization and Analysis of Subgroup Patterns %E %B Journal of Applied Intelligence %C %I %V 28 %6 %N 3 %P 210-221 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F AP:08 %K data, discovery, experience, knowledge, management, mining, myown %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin & Seipel, Dietmar %D 2008 %T Causal Subgroup Analysis for Detecting Confounding (Extended version) %E %B Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F AS:08b %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin & Seipel, Dietmar %D 2008 %T Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining (Extended version) %E %B Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted %C %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F AS:08a %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Beer, Stephanie; H\"ornlein, Alexander; Melcher, Ralf; L\"uhrs, Hardi & Puppe, Frank %D 2008 %T Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain %E %B Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems %C Erfurt %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ABHMLP:08 %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual, warehouse %X %Z %U %+ %^ %0 %0 Book %A %D 2008 %T Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivitat %E Baumeister, Joachim & Atzmueller, Martin %B Technical report 448 %C %I Institute of Computer Science, University of W\"urzburg %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 book %4 %# %$ %F BA:08 %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Book %A Atzmueller, Martin %D 2007 %T Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery %E %B Dissertations in Artificial Intelligence-Infix (Diski) %C %I IOS Press %V 307 %6 %N %P %& %Y %S %7 %8 March %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 book %4 %# %$ %F Atzmueller:07 %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Journal Article %A Atzmueller, Martin; Baumeister, Joachim & Puppe, Frank %D 2006 %T Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures %E %B Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine %C %I %V 37 %6 %N 1 %P 19--30 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 article %4 %# %$ %F ABP:05Score %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Puppe, Frank & Buscher, Hans-Peter %D 2005 %T Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery %E %B Proc. 19th International Joint Conference on Artificial Intelligence (IJCAI-05) %C Edinburgh, Scotland %I %V %6 %N %P 647--652 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F APB:05a %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Puppe, Frank & Buscher, Hans-Peter %D 2005 %T Profiling Examiners using Intelligent Subgroup Mining %E %B Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2005) %C Aberdeen, Scotland %I %V %6 %N %P 46--51 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F APB:05b %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Baumeister, Joachim; Hemsing, Achim; Richter, Ernst-J\"urgen & Puppe, Frank %D 2005 %T Subgroup Mining for Interactive Knowledge Refinement %E %B Proc. 10th Conference on Artificial Intelligence in Medicine (AIME 05) %C %I %V %6 %N %P 453--462 %& %Y %S LNAI 3581 %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ABHRP:05 %K analytics, data, discovery, experience, knowledge, management, mining, myown, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Puppe, Frank; Buscher, Georg; Atzmueller, Martin; Huettig, Matthias & Buscher, Hans-Peter %D 2005 %T Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult) %E %B {Professional Knowledge Management} %C %I %V %6 %N %P 319–-329 %& %Y %S LNAI %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F PBAHB:05 %K analytics, data, discovery, experience, knowledge, management, mining, myown, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Shi, Wenqi; Baumeister, Joachim; Puppe, Frank & Barnden, John A. %D 2004 %T Case-Based Approaches for Diagnosing Multiple Disorders %E Barr, Valerie & Markov, Zdravko %B Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004) %C %I AAAI Press %V %6 %N %P 154--159 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ASBPB:04 %K analytics, case-based, data, diagnosis, discovery, experience, knowledge, management, mining, myown, reasoning, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Baumeister, Joachim & Puppe, Frank %D 2004 %T Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases %E %B Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management (INAP 2004) %C Potsdam, Germany %I %V %6 %N %P 203--213 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ABP:04 %K analytics, data, diagnosis, discovery, experience, knowledge, management, mining, myown, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Puppe, Frank & Buscher, Hans-Peter %D 2004 %T Towards Knowledge-Intensive Subgroup Discovery %E %B Proc. LWA 2004 Workshop, Germany %C %I %V %6 %N %P 117--123 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F APB:04 %K analytics, data, discovery, experience, knowledge, management, mining, myown, semantic, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Baumeister, Joachim & Puppe, Frank %D 2003 %T Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults %E %B Proc. 2nd Conf. Professional Knowledge Management (WM2003) %C Luzern, Switzerland %I %V %6 %N %P %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ABP:03 %K analytics, case-based, data, diagnosis, discovery, experience, imported, knowledge, management, mining, myown, reasoning, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Atzmueller, Martin; Baumeister, Joachim & Puppe, Frank %D 2003 %T Inductive Learning of Simple Diagnostic Scores %E %B Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis (ISMDA 2003), LNCS 2868 %C %I %V %6 %N %P 23-30 %& %Y %S %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F ABP:03Score %K analytics, data, diagnosis, discovery, experience, knowledge, management, mining, myown, refinement, semantic, vikamine, visual %X %Z %U %+ %^ %0 %0 Conference Proceedings %A Baumeister, Joachim; Atzmueller, Martin & Puppe, Frank %D 2002 %T Inductive Learning for Case-Based Diagnosis with Multiple Faults %E %B Advances in Case-Based Reasoning %C %I %V 2416 %6 %N %P 28-42 %& %Y %S LNAI %7 %8 %9 %? %! %Z %@ %( %) %* %L %M %1 %2 %3 inproceedings %4 %# %$ %F BAP:02 %K analytics, data, diagnosis, discovery, experience, knowledge, management, mining, myown, refinement, semantic, vikamine, visual %X %Z Proc. 6th European Conference on Case-Based Reasoning (ECCBR 2002) %U %+ %^