Dr. Martin Atzmüller
Universität KasselFachbereich Elektrotechnik/Informatik
Fachgebiet Wissensverarbeitung
Raum 0440
Wilhelmshöher Allee 73
34121 Kassel
Tel.: ++49 561 804-6298
Fax.: ++49 561 804-6259
atzmueller@cs.uni-kassel.deR subgroup Package: Subgroup Discovery & Analysis
BibSonomy & Blog
Conferator
VIKAMINE
Ubicon
Publications
2012
Mining Social Media. Informatik Spektrum, (35)2:132-135, 2012. [BibSonomy: 2012 analysis community data itegpub media mining myown sentiment social socialnetworks]
Data Mining, Validation and Collaborative Knowledge Capture. In Stefan Brüggemann, and Claudia d’Amato (Eds.), Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources, 149-167, IGI Global, 2012. [BibSonomy: 2012 data itegpub mining myown nlp textmarker]
Anatomy of a Conference. Proc. Hypertext 2012. To appear, 2012. [BibSonomy: 2012 analysis data itegpub mining myown network rfid sna venus]
2011
Analysis of Social Media and Ubiquitous Data - International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers. In Martin Atzmueller, Andreas Hotho, Markus Strohmaier, and Alvin Chin (Eds.), MSM/MUSE, (6904)Springer, 2011. [BibSonomy: 2011 analysis data itegpub media myown social ubiquitous] URL
Analysis of Communities in Social Media. Proc. 20th Intl. Conference on Information and Knowledge Management CIKM 2011, 35-36, ACM Press, Glasgow, Scotland, UK, 2011. [BibSonomy: 2011 analysis collective communities community data discovery intelligence itegpub knowledge mining myown]
Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments MUSE 2011. In Martin Atzmueller, and Andreas Hotho (Eds.), ECML/PKDD 2011, Athens, Greece, 2011. [BibSonomy: 2011 itegpub mining muse myown social ubiquitous workshop]
Towards Mining Semantic Maturity in Social Bookmarking Systems. In Alexandre Passant, Sergio Fernández, John Breslin, and Uldis Bojārs (Eds.), Proceedings of the 4th international workshop on Social Data on the Web SDoW2011, 2011. [BibSonomy: 2011 bookmarking itegpub maturity mining myown pattern semantic social] URL
VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery. Proceedings of the LWA 2011 - Learning, Knowledge, Adaptation, 2011. [BibSonomy: 2011 client data discovery environment intelligent itegpub mining myown pattern rich subgroup vikamine]
Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players. Proc. Workshop on Mining Ubiquitous and Social Environments MUSE 2011 at ECML/PKDD 2011, 2011. [BibSonomy: 2011 analysis community discovery itegpub knowledge mining myown]
Enhancing Social Interactions at Conferences. it - Information Technology, (53)3:101--107, Oldenbourg Wissenschaftsverlag GmbH, May 2011. [BibSonomy: 2011 conferator conference itegpub myown] URL
Efficient Descriptive Community Mining. Proc. 24th Intl. FLAIRS Conference, AAAI Press, 2011. [BibSonomy: 2011 community discovery itegpub mining myown scalability social venus]
Data Mining. In Philip M. McCarthy, and Chutima Boonthum (Eds.), Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution., IGI Global, 2011. [BibSonomy: 2011 data discovery itegpub knowledge mining myown nlp text]
Gestaltung technisch-sozialer Vernetzung in der Arbeitsorganisation: Untersuchung zur Nutzerakzeptanz von RFID-Technologie. GfA-Frühjahrskongress, Chemnitz, 2011. [BibSonomy: 2011 mygroup myown networking rfid social venus]
Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers. (Proc. IEEE SocialCom)IEEE Computer Society, Boston, MA, USA, 2011. [BibSonomy: 2011 analysis data development itegpub mining myown]
Das Forschungszentrum für Informationstechnik-Gestaltung ITeG. Praxis der Informationsverarbeitung und Kommunikation, (34)4:238-240, 2011. [BibSonomy: 2011 data discovery itegpub mining myown]
Modeling Location-Based Profiles of Social Image Media using Explorative Pattern Mining. Proc. IEEE SocialCom 2011, Workshop on Modeling Social Media MSM 2011, IEEE Computer Society, 2011. [BibSonomy: 2011 data discovery itegpub knowledge mining myown pattern social]
Community Assessment using Evidence Networks. Analysis of Social Media and Ubiquitous Data, (6904)2011. [BibSonomy: 2011 community discovery itegpub knowledge mining myown]
Resource-Aware On-Line RFID Localization Using Proximity Data. Proceedings of the ECML/PKDD 2011, 129--144, Springer Verlag, Heidelberg, Germany, 2011. [BibSonomy: 2011 data itegpub learning localization machine mining myown rfid]
2010
Towards Mining Descriptive Community Patterns. Workshop on Mining Patterns and Subgroups, Lorentz Center, Leiden, The Netherlands. Awarded with the Best Discovery Award, 2010. [BibSonomy: 2010 award data discovery itegpub knowledge mining myown sna social]
The IWK2010 Workshops: DERIS2010 and EMDT2010. Proceedings of the IWK2010 Workshops: International Workshop on Design, Evaluation and Refinement of Intelligent Systems DERIS2010 and the First International Workshop on Evolution Support for Model-Based Development and Testing EMDT2010. In Martin Atzmueller, Rainer Knauf, Stephan Bode, Qurat-Ul-Ann Farooq, and Matthias Riebisch (Eds.), CEUR-WS, (646)RWTH Aachen University, 2010. [BibSonomy: 2010 data deris2010 itegpub iwk2010 knowledge mining myown proceedings]
Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments MUSE 2010. In Martin Atzmueller, and Andreas Hotho (Eds.), ECML/PKDD 2010, Barcelona, Spain, 2010. [BibSonomy: 2010 data discovery itegpub knowledge mining muse myown social ubiquitous workshop]
Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität. In Martin Atzmueller, Dominik Benz, Andreas Hotho, and Gerd Stumme (Eds.), Technical report KIS, 2010-10, Department of Electrical Engineering/Computer Science, Kassel University, 2010. [BibSonomy: 2010 data discovery itegpub knowledge mining myown]
Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered. RR-10-022010. [BibSonomy: 2010 data design discovery explanation-aware itegpub knowledge mining myown]
Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining. Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010, 2010. [BibSonomy: 2010 data discovery explanation-aware itegpub knowledge mining myown social software]
The Mining and Analysis Continuum of Explaining Uncovered. Proc. 30th SGAI International Conference on Artificial Intelligence AI-2010, 2010. [BibSonomy: 2010 data discovery explanation-aware itegpub knowledge mining myown]
Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction. Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems DERIS, University of Ilmenau, 2010. [BibSonomy: 2010 discovery extraction information itegpub mining myown subgroup textmarker vikamine]
Decision-Maker-Aware Design of Descriptive Data Mining. Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems DERIS, 2010. [BibSonomy: 2010 data decision descriptive design itegpub mining myown]
Fast Discovery of Relevant Subgroup Patterns. Proc. 23rd FLAIRS Conference, 2010. [BibSonomy: 2010 data itegpub local mining myown pattern]
Community Assessment using Evidence Networks. Proceedings of the Workshop on Mining Ubiquitous and Social Environments MUSE2010, Barcelona, Spain, 2010. [BibSonomy: 2010 assessment community ecml evaluation evidence itegpub muse myown networks pkdd] URL
EWMA Control Charts for Monitoring Binary Processes with Applications to Medical Diagnosis Data. Quality and Reliability Engineering, 2010. [BibSonomy: 2010 data itegpub management medical mining myown quality]
2009
A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining. Proc. 22nd International Florida Artificial Intelligence Research Society Conference FLAIRS, 402--407, AAAI Press, 2009. [BibSonomy: 2009 data discovery intelligent mining myown system]
Fast and Effective Subgroup Mining for Continuous Target Variables. Proc. LWA 2009 Knowledge Discovery and Machine Learning Track, University of Darmstadt, Darmstadt, Germany, 2009. [BibSonomy: 2009 descriptive discovery mining myown pattern subgroup]
Who are the Spammers? Understandable Local Patterns for Concept Description. Proc. 7th Conference on Computer Methods and Systems, 2009. [BibSonomy: 2009 concept data description descriptive mining myown pattern]
Knowta: Wiki-Enabled Social Tagging for Collaborative Knowledge and Experience Management. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems DERIS2009, (545):1--12, Krakow, Poland, 2009. [BibSonomy: 2009 data discovery mining myown social tagging wiki]
Wiki-Enabled Semantic Data Mining - Task Design, Evaluation and Refinement. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems DERIS2009, (545)Krakow, Poland, 2009. [BibSonomy: 2009 data discovery knowledge mining myown]
An Extensible Architecture for Wiki-Enabled Semantic Data Mining. Technical Report, (463)University of Wuerzburg, 2009. [BibSonomy: 2009 architecture data discovery extensible knowledge mining myown semantic wiki]
Knowledge Discovery Enhanced with Semantic and Social Information: A Knowledge-Intensive Approach for Semi-Automatic Causal Subgroup Discovery. 2009. [BibSonomy: 2009 analytics data discovery experience knowledge management mining myown semantic visual]
Towards Understanding Spammers - Discovering Local Patterns for Concept Characterization and Description. In Johannes Fürnkranz Arno Knobbe (Eds.), Proc. LeGo-09: From Local Patterns to Global Models, Workshop at the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009. [BibSonomy: 2009 bibsonomy data discrimination ecml mining myown pkdd spam subgroup-discovery]
Fast Subgroup Discovery for Continuous Target Concepts. Proc. 18th International Symposium on Methodologies for Intelligent Systems ISMIS 2009, in press, 2009. [BibSonomy: 2009 data discovery efficient knowledge mining myown subgroup-discovery]
Towards Rapid Knowledge Capture using Textual Subgroup Mining for Rule Prototyping. Technical Report 458, Institute of Computer Science, University of Würzburg, 2009. [BibSonomy: 2009 analytics data discovery experience knowledge management mining myown semantic visual]
A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery. International Journal on Artificial Intelligence Tools IJAIT, (18)1:1 -- 18, 2009. [BibSonomy: 2009 analytics data discovery experience knowledge management mining myown semantic visual]
A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture. Proc. 22nd International Florida Artificial Intelligence Research Society Conference FLAIRS, accepted, 2009. [BibSonomy: 2009 analytics data discovery experience knowledge management mining myown semantic visual]
A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, University of Darmstadt, Darmstadt, Germany, 2009. [BibSonomy: 2009 data extraction information mining myown text]
TextMarker: A Tool for Rule-Based Information Extraction. Proc. Unstructured Information Management Architecture UIMA, 2nd UIMA@GSCL Workshop, 2009 Conference of the GSCL Gesellschaft für Sprachtechnologie und Computerlinguistik, 2009. [BibSonomy: 2009 data discovery mining myown text textmarker]
Meta-Level Information Extraction. The 32nd Annual Conference on Artificial Intelligence, Springer, Berlin, September 2009. [BibSonomy: 2009 construction evaluation extraction feature information mining myown textmarker]
Incorporating Exceptions: Efficient Mining of epsilon-Relevant Subgroup Patterns. In Johannes Fürnkranz Arno Knobbe (Eds.), Proc. LeGo-09: From Local Patterns to Global Models, Workshop at the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009. [BibSonomy: 2009 data exceptions learning mining myown relevancy subgroup-discovery]
2008
Causal Subgroup Analysis for Detecting Confounding Extended version. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, 2008. [BibSonomy: 2008 analytics data discovery experience knowledge management mining myown semantic visual]
Exploiting the Power of Social Tagging Systems: A Semantic Flickr Approach for Tutoring and Knowledge Management. Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems, Erfurt, 2008. [BibSonomy: 2008 discovery knowledge management myown social system tagging]
Design and Implementation of a Data Warehouse for Quality Management, System Evaluation and Knowledge Discovery in the Medical Domain. Proc. 1st European Workshop on Design, Evaluation and Refinement of Intelligent Systems, Erfurt, 2008. [BibSonomy: 2008 analytics data discovery experience knowledge management mining myown semantic visual warehouse]
Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. Proc. LWA 2008 Knowledge Discovery and Machine Learning Track, accepted, University of Wuerzburg, 2008. [BibSonomy: 2008 extraction information myown textmarker vikamine]
Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining Extended version. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management, accepted, 2008. [BibSonomy: 2008 analytics data discovery experience knowledge management mining myown semantic visual]
A Case-Based Approach for Characterization and Analysis of Subgroup Patterns. Journal of Applied Intelligence, (28)3:210-221, 2008. [BibSonomy: 2008 data discovery experience knowledge management mining myown]
Semi-Automatic Refinement and Assessment of Subgroup Patterns. Proc. 21th International Florida Artificial Intelligence Research Society Conference FLAIRS-2008, AAAI Press, 2008. [BibSonomy: 2008 analytics data diagnosis intelligent mining myown refinement system visual]
Proceedings of the LWA 2008 - Lernen, Wissen, Adaptivität. In Joachim Baumeister, and Martin Atzmueller (Eds.), Technical report 448, Institute of Computer Science, University of Würzburg, 2008. [BibSonomy: 2008 analytics data discovery experience knowledge management mining myown semantic visual]
Test-Driven Development of Complex Information Extraction Systems using TextMarker. Proc. 4th International Workshop on Knowledge Engineering and Software Engineering KESE 2008, 31th German Conference on Artificial Intelligence KI-2008, accepted, 2008. [BibSonomy: 2008 extraction information myown textmarker vikamine]
Integrating the Rule-Based IE Component TextMarker into UIMA. Proc. LWA 2008 Information Retrieval Track, submitted, University of Wuerzburg, 2008. [BibSonomy: 2008 extraction information myown textmarker vikamine]
Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology. Proc. LWA 2008 Knowledge Discovery and Machine Learning Track, accepted, University of Wuerzburg, 2008. [BibSonomy: 2008 bayesian myown network optimization]
A Methodological Approach for the Effective Modeling of Bayesian Networks. Proc. 31st Annual German Conference on Artificial Intelligence KI 2008, 160--168, 2008. [BibSonomy: 2008 bayesian data mining myown networks subgroup-discovery]
Application and Evaluation of a Medical Knowledge-System in Sonography SonoConsult. Proc. 18th European Conference on Artificial Intelligence ECAI 20008, accepted, 2008. [BibSonomy: 2008 data diagnosis intelligent mining myown refinement system]
2007
Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery. Dissertations in Artificial Intelligence-Infix Diski, (307)IOS Press, March 2007. [BibSonomy: 2007 analytics data discovery experience knowledge management mining myown semantic vikamine visual]
Onto Confounding-Aware Subgroup Discovery. Proc. 19th IEEE International Conference on Tools with Artificial Intelligence ICTAI 2007, 163--170, IEEE Press, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
Towards Confounding-Aware Subgroup Discovery. Proc. LWA 2007 KDML Special Track, University of Halle, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
A Knowledge-Intensive Approach for Semi-Automatic Causal Subgroup Discovery. Proc. Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery PriCKL'07, at the 18th European Conference on Machine Learning ECML'07, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD'07, Warsaw, Poland, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
Declarative Specification of Ontological Domain Knowledge for Descriptive Data Mining. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management INAP 2007, Wuerzburg, Germany, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
Causal Subgroup Analysis for Detecting Confounding. Proc. 18th International Conference on Applications of Declarative Programming and Knowledge Management INAP 2007, Wuerzburg, Germany, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. Proc. 3rd International Workshop on Knowledge Engineering and Software Engineering KESE 2007, 30th German Conference on Artificial Intelligence KI-2007, 2007. [BibSonomy: 2007 data experience-management mining myown subgroup-discovery]
Pattern-Constrained Test Case Generation. Proc. 20th International Florida Artificial Intelligence Research Society Conference FLAIRS-2007, 518--523, AAAI Press, 2007. [BibSonomy: 2007 data mining myown subgroup-discovery]
Rapid Knowledge Capture Using Subgroup Discovery with Incremental Refinement. Proc. 4th International Conference on Knowledge Capture K-CAP 2007, 31--38, ACM Press, 2007. [BibSonomy: 2007 capture knowledge myown subgroup-discovery]
2006
SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery.. Proc. 10th European Conf. on Principles and Practice of Knowledge Discovery in Databases PKDD 2006, 6-17, 2006. [BibSonomy: 2006 data discovery efficient knowledge mining myown subgroup-discovery]
Introspective Subgroup Analysis for Interactive Knowledge Refinement. Proc. 19th International Florida Artificial Intelligence Research Society Conference 2006 FLAIRS-2006, 402--407, AAAI Press, 2006. [BibSonomy: 2006 data discovery efficient knowledge mining myown subgroup-discovery]
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, 2006. [BibSonomy: 2006 analytics data discovery experience knowledge management mining myown semantic visual]
Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery. 2006. [BibSonomy: 2006 analytics data diagnosis intelligent mining myown refinement system visual]
A Methodological View on Knowledge-Intensive Subgroup Discovery. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management EKAW 2006, 4248:318--325, 2006. [BibSonomy: 2006 data discovery mining myown semantic subgroup]
Case-Based Characterization and Analysis of Subgroup Patterns. Proc. LWA 2006 KDML Special Track, Hildesheimer Informatik Berichte, University of Hildesheim, 2006. [BibSonomy: 2006 data mining myown subgroup-discovery]
Conservative and Creative Strategies for the Refinement of Scoring Rules. In Geoff Sutcliffe, and Randy Goebel (Eds.), Proc. 19th Intl. Florida Artificial Intelligence Research Society Conference 2006 FLAIRS-2006, 408--413, AAAI Press, 2006. [BibSonomy: 2006 diagnosis myown refinement subgroup-discovery]
2005
Quality Measures and Semi-Automatic Mining of Diagnostic Rule Bases extended version. Proc. 15th International Conference on Applications of Declarative Programming and Knowledge Management INAP 2004, 3392:65--78, 2005. [BibSonomy: 2005 data mining myown]
Semi-Automatic Visual Subgroup Mining using VIKAMINE. Journal of Universal Computer Science, (11)11:1752--1765, 2005. [BibSonomy: 2005 data discovery efficient knowledge mining myown subgroup-discovery]
Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. Proc. 13th Leipziger Informatik-Tage 2005 LIT 2005, 101-106, 2005. [BibSonomy: 2005 analytics data discovery experience knowledge management mining myown semantic vikamine visual]
Subgroup Mining for Interactive Knowledge Refinement. Proc. 10th Conference on Artificial Intelligence in Medicine AIME 05, 453--462, 2005. [BibSonomy: 2005 analytics data discovery experience knowledge management mining myown refinement semantic vikamine visual]
Profiling Examiners using Intelligent Subgroup Mining. Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology IDAMAP-2005, 46--51, Aberdeen, Scotland, 2005. [BibSonomy: 2005 analytics data discovery experience knowledge management mining myown semantic vikamine visual]
Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. Proc. 19th International Joint Conference on Artificial Intelligence IJCAI-05, 647--652, Edinburgh, Scotland, 2005. [BibSonomy: 2005 analytics data discovery experience knowledge management mining myown semantic vikamine visual]
Using Subgroup Mining for the Refinement of Knowledge Systems. Proceedings of the 29th Annual Conference of the German Classification Society GfKl 2005, 2005. [BibSonomy: 2005 data diagnosis intelligent mining myown refinement system]
Subgroup Discovery. Künstliche Intelligenz, 4:52--53, 2005. [BibSonomy: 2005 myown subgroup-discovery vikamine]
Interoperability of Case-Based Training Systems in Medicine: The CASEPORT Approach. Proc. 9th Workshop of the GMDS AG, Quintessenz Verlags-GmbH, Berlin, Germany, 2005. [BibSonomy: 2005 case-based caseport myown reasoning training]
Clinical Experiences with a Knowledge-Based System in Sonography SonoConsult. Professional Knowledge Management, 3782:319–-329, 2005. [BibSonomy: 2005 analytics data discovery experience knowledge management mining myown refinement semantic vikamine visual]
2004
Intelligent Diagnosis System Handling Multiple Disorders. Proc. International Conference on Intelligent Information Processing ICIIP 2004, 2004. [BibSonomy: 2004 case-based diagnosis disorders handling intelligent multiple myown reasoning system]
Towards Knowledge-Intensive Subgroup Discovery. Proc. LWA 2004 Workshop, Germany, 117--123, 2004. [BibSonomy: 2004 analytics data discovery experience knowledge management mining myown semantic visual]
Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases. Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management INAP 2004, 203--213, Potsdam, Germany, 2004. [BibSonomy: 2004 analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual]
Case-Based Approaches for Diagnosing Multiple Disorders. In Valerie Barr, and Zdravko Markov (Eds.), Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 FLAIRS-2004, 154--159, AAAI Press, 2004. [BibSonomy: 2004 analytics case-based data diagnosis discovery experience knowledge management mining myown reasoning refinement semantic vikamine visual]
Erfahrungen mit der Entwicklung des CASEPORT-Lernportals. Proc. 8th Workshop of the GMDS AG, Shaker Verlag, Aachen, Germany, 2004. [BibSonomy: 2004 case-based caseport myown reasoning training]
2003
Inductive Learning of Simple Diagnostic Scores. Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis ISMDA 2003, LNCS 2868, 23-30, 2003. [BibSonomy: 2003 analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual]
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults. Proc. 2nd Conf. Professional Knowledge Management WM2003, Luzern, Switzerland, 2003. [BibSonomy: 2003 analytics case-based data diagnosis discovery experience imported knowledge management mining myown reasoning refinement semantic vikamine visual]
2002
Inductive Learning for Case-Based Diagnosis with Multiple Faults. Advances in Case-Based Reasoning, (2416):28-42, 2002. [BibSonomy: 2002 analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual]