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bookmarks

publications

• A Data Warehouse-Based Approach for Quality Management, Evaluation and Analysis of Intelligent Systems using Subgroup Mining
  Martin Atzmueller and Stephanie Beer and Frank Puppe Proc. 22nd International Florida Artificial Intelligence Research Society Conference FLAIRS, accepted, page 372-377. AAAI Press, (2009)
  to analytics data discovery experience knowledge management mining myown semantic visual by atzmueller on Mar 5, 2010, 11:39 AM
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• Towards Understanding Spammers - Discovering Local Patterns for Concept Characterization and Description
  Martin Atzmueller and Florian Lemmerich and Beate Krause and Andreas Hotho 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) accepted .
  to bibsonomy data discrimination mining myown spam subgroup-discovery by atzmueller and 1 other person on Aug 17, 2009, 2:05 PM
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• Incorporating Exceptions: Efficient Mining of epsilon-Relevant Subgroup Patterns
  Florian Lemmerich and Martin Atzmueller 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) accepted .
  to data exceptions learning mining myown relevancy subgroup-discovery by atzmueller and 1 other person on Jul 3, 2009, 4:03 PM
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• Knowledge Discovery Enhanced with Semantic and Social Information: A Knowledge-Intensive Approach for Semi-Automatic Causal Subgroup Discovery
  Martin Atzmueller and Frank Puppe chapter A Knowledge-Intensive Approach for Semi-Automatic Causal Subgroup Discovery, (2009)
  to analytics data discovery experience knowledge management mining myown semantic visual by atzmueller on Jun 25, 2009, 9:47 AM
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• VIKAMINE: http://www.vikamine.org
  (2005)
  to analytics data discovery experience knowledge management mining myown semantic vikamine visual by atzmueller on Jun 25, 2009, 9:45 AM
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• SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery.
  Martin Atzmueller and Frank Puppe Proc. 10th European Conf. on Principles and Practice of Knowledge Discovery in Databases PKDD 2006, page 6-17. (2006)
  to data discovery efficient knowledge mining myown subgroup-discovery by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Introspective Subgroup Analysis for Interactive Knowledge Refinement
  Martin Atzmueller and Joachim Baumeister and Frank Puppe Proc. 19th International Florida Artificial Intelligence Research Society Conference 2006 FLAIRS-2006, page 402--407. AAAI Press, (2006)
  to data discovery efficient knowledge mining myown subgroup-discovery by atzmueller and 2 other people on Jun 25, 2009, 9:04 AM
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• Semi-Automatic Visual Subgroup Mining using VIKAMINE
  Martin Atzmueller and Frank Puppe Journal of Universal Computer Science11(11):1752--1765(2005)
  to data discovery efficient knowledge mining myown subgroup-discovery by atzmueller on Jun 25, 2009, 9:04 AM
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• Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement
  Martin Atzmueller and Joachim Baumeister and Frank Puppe Proc. 13th Leipziger Informatik-Tage 2005 LIT 2005, page 101-106. (2005)
  to analytics data discovery experience knowledge management mining myown semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Subgroup Mining for Interactive Knowledge Refinement
  Martin Atzmueller and Joachim Baumeister and Achim Hemsing and Ernst-Jürgen Richter and Frank Puppe Proc. 10th Conference on Artificial Intelligence in Medicine AIME 05, page 453--462. (2005)
  to analytics data discovery experience knowledge management mining myown refinement semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Profiling Examiners using Intelligent Subgroup Mining
  Martin Atzmueller and Frank Puppe and Hans-Peter Buscher Proc. 10th International Workshop on Intelligent Data Analysis in Medicine and Pharmacology IDAMAP-2005, page 46--51. Aberdeen, Scotland, (2005)
  to analytics data discovery experience knowledge management mining myown semantic vikamine visual by atzmueller on Jun 25, 2009, 9:04 AM
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• Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery
  Martin Atzmueller and Frank Puppe and Hans-Peter Buscher Proc. 19th International Joint Conference on Artificial Intelligence IJCAI-05, page 647--652. Edinburgh, Scotland, (2005)
  to analytics data discovery experience knowledge management mining myown semantic vikamine visual by atzmueller on Jun 25, 2009, 9:04 AM
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• Clinical Experiences with a Knowledge-Based System in Sonography SonoConsult
  Frank Puppe and Georg Buscher and Martin Atzmueller and Matthias Huettig and Hans-Peter Buscher Professional Knowledge Management, 3782, page 319–-329. (2005)
  to analytics data discovery experience knowledge management mining myown refinement semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Towards Knowledge-Intensive Subgroup Discovery
  Martin Atzmueller and Frank Puppe and and Hans-Peter Buscher Proc. LWA 2004 Workshop, Germany, page 117--123. (2004)
  to analytics data discovery experience knowledge management mining myown semantic visual by atzmueller on Jun 25, 2009, 9:04 AM
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• Quality Measures for Semi-Automatic Learning of Simple Diagnostic Rule Bases
  Martin Atzmueller and Joachim Baumeister and Frank Puppe Proc. 15th Intl. Conference on Applications of Declarative Programming and Knowledge Management INAP 2004, page 203--213. Potsdam, Germany, (2004)
  to analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual by atzmueller on Jun 25, 2009, 9:04 AM
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• Semi-Automatic Learning of Simple Diagnostic Scores Utilizing Complexity Measures
  Martin Atzmueller and Joachim Baumeister and Frank Puppe Artificial Intelligence in Medicine. Special Issue on Intelligent Data Analysis in Medicine37(1):19--30(2006)
  to analytics data discovery experience knowledge management mining myown semantic visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Knowledge-Intensive Subgroup Mining -- Techniques for Automatic and Interactive Discovery
  Martin Atzmueller Dissertations in Artificial Intelligence-Infix Diski IOS Press, March 2007.
  to analytics data discovery experience knowledge management mining myown semantic vikamine visual by atzmueller on Jun 25, 2009, 9:04 AM
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• Inductive Learning of Simple Diagnostic Scores
  Martin Atzmueller and Joachim Baumeister and Frank Puppe Medical Data Analysis, Proc. 4th Intl. Symposium on Medical Data Analysis ISMDA 2003, LNCS 2868, page 23-30. (2003)
  to analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Inductive Learning for Case-Based Diagnosis with Multiple Faults
  Joachim Baumeister and Martin Atzmueller and Frank Puppe Advances in Case-Based Reasoning, volume 2416 of LNAI, page 28-42. (2002) Proc. 6th European Conference on Case-Based Reasoning ECCBR 2002 .
  to analytics data diagnosis discovery experience knowledge management mining myown refinement semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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• Case-Based Approaches for Diagnosing Multiple Disorders
  Martin Atzmueller and Wenqi Shi and Joachim Baumeister and Frank Puppe and John A. Barnden Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 FLAIRS-2004, page 154--159. AAAI Press, (2004)
  to analytics case-based data diagnosis discovery experience knowledge management mining myown reasoning refinement semantic vikamine visual by atzmueller and 1 other person on Jun 25, 2009, 9:04 AM
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