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Martin Atzmüller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin Atzmüller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, Frank Puppe
    Subgroup Mining for Interactive Knowledge Refinement. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:453-462 [Conf]
  2. Martin Atzmüller, Frank Puppe
    A Methodological View on Knowledge-Intensive Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    EKAW, 2006, pp:318-325 [Conf]
  3. Joachim Baumeister, Martin Atzmüller, Frank Puppe
    Inductive Learning for Case-Based Diagnosis with Multiple Faults. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2002, pp:28-42 [Conf]
  4. Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden
    Case-Based Approaches for Diagnosing Multiple Disorders. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  5. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Introspective Subgroup Analysis for Interactive Knowledge Refinement. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:402-407 [Conf]
  6. Joachim Baumeister, Martin Atzmüller, Peter Klügl, Frank Puppe
    Conservative and Creative Strategies for the Refinement of Scoring Rules. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:408-413 [Conf]
  7. Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister
    An Intelligent Diagnosis System Handling Multiple Disorders. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Processing, 2004, pp:421-430 [Conf]
  8. Martin Atzmüller, Frank Puppe, Hans-Peter Buscher
    Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:647-652 [Conf]
  9. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Inductive Learning of Simple Diagnostic Scores. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2003, pp:23-30 [Conf]
  10. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. [Citation Graph (0, 0)][DBLP]
    Leipziger Informatik-Tage, 2005, pp:101-106 [Conf]
  11. Martin Atzmüller, Frank Puppe, Hans-Peter Buscher
    Towards Knowledge-Intensive Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:111-117 [Conf]
  12. Martin Atzmüller
    Case-Based Characterization and Analysis of Subgroup Patterns. [Citation Graph (0, 0)][DBLP]
    LWA, 2006, pp:237-244 [Conf]
  13. Martin Atzmüller, Frank Puppe
    SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:6-17 [Conf]
  14. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases. [Citation Graph (0, 0)][DBLP]
    INAP/WLP, 2004, pp:65-78 [Conf]
  15. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults. [Citation Graph (0, 0)][DBLP]
    Wissensmanagement, 2003, pp:275-276 [Conf]
  16. Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher
    Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). [Citation Graph (0, 0)][DBLP]
    Wissensmanagement, 2005, pp:299-304 [Conf]
  17. Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher
    Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). [Citation Graph (0, 0)][DBLP]
    Wissensmanagement (LNCS Volume), 2005, pp:319-329 [Conf]
  18. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Semi-automatic learning of simple diagnostic scores utilizing complexity measures. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:1, pp:19-30 [Journal]
  19. Martin Atzmüller, Frank Puppe
    Semi-Automatic Visual Subgroup Mining using VIKAMINE. [Citation Graph (0, 0)][DBLP]
    J. UCS, 2005, v:11, n:11, pp:1752-1765 [Journal]
  20. Martin Atzmüller, Joachim Baumeister, Frank Puppe
    Pattern-Constrained Test Case Generation. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2007, pp:518-523 [Conf]
  21. Martin Atzmüller, Frank Puppe
    Towards Confounding-Aware Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:87-93 [Conf]

  22. Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT). [Citation Graph (, )][DBLP]


  23. Semi-Automatic Refinement and Assessment of Subgroup Patterns. [Citation Graph (, )][DBLP]


  24. A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining. [Citation Graph (, )][DBLP]


  25. Fast Discovery of Relevant Subgroup Patterns. [Citation Graph (, )][DBLP]


  26. Onto Confounding-Aware Subgroup Discovery. [Citation Graph (, )][DBLP]


  27. Fast Subgroup Discovery for Continuous Target Concepts. [Citation Graph (, )][DBLP]


  28. Rapid knowledge capture using subgroup discovery with incremental refinement. [Citation Graph (, )][DBLP]


  29. Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. [Citation Graph (, )][DBLP]


  30. Test-Driven Development of Complex Information Extraction Systems using TextMarker. [Citation Graph (, )][DBLP]


  31. A Methodological Approach for the Effective Modeling of Bayesian Networks. [Citation Graph (, )][DBLP]


  32. Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. [Citation Graph (, )][DBLP]


  33. Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology. [Citation Graph (, )][DBLP]


  34. Integrating the Rule-Based IE Component TextMarker into UIMA. [Citation Graph (, )][DBLP]


  35. Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining. [Citation Graph (, )][DBLP]


  36. Causal Subgroup Analysis for Detecting Confounding. [Citation Graph (, )][DBLP]


  37. A case-based approach for characterization and analysis of subgroup patterns. [Citation Graph (, )][DBLP]


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