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Martin Atzmüller
Martin Atzmueller
2010 – today
- 2013
[c53]Martin Atzmueller, Katy Hilgenberg: Towards capturing social interactions with SDCF: an extensible framework for mobile sensing and ubiquitous data collection. MSM 2013: 6
[e4]Martin Atzmueller, Alvin Chin, Christoph Trattner (Eds.): Proceedings of the 4th International Workshop on Modeling Social Media, MSM '13, Paris, France, May 1, 2013. ACM 2013, ISBN 978-1-4503-2007-8- 2012
[j8]
[j7]Martin Atzmueller: Mining social media: key players, sentiments, and communities. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(5): 411-419 (2012)
[c52]Martin Atzmueller, Martin Becker, Stephan Doerfel, Andreas Hotho, Mark Kibanov, Bjoern Elmar Macek, Folke Mitzlaff, Juergen Mueller, Christoph Scholz, Gerd Stumme: Ubicon: Observing Physical and Social Activities. GreenCom 2012: 317-324
[c51]Kay Behrenbruch, Martin Atzmüller, Christoph Evers, Ludger Schmidt, Gerd Stumme, Kurt Geihs: A Personality Based Design Approach Using Subgroup Discovery. HCSE 2012: 259-266
[c50]Martin Atzmueller: Onto collective intelligence in social media: exemplary applications and perspectives. MSM 2012: 33-34
[c49]Bjoern Elmar Macek, Christoph Scholz, Martin Atzmueller, Gerd Stumme: Anatomy of a conference. HT 2012: 245-254
[c48]Dietmar Seipel, Philipp Neubeck, Stefan Köhler, Martin Atzmueller: Mining Complex Event Patterns in Computer Networks. NFMCP 2012: 33-48
[c47]Florian Lemmerich, Martin Becker, Martin Atzmueller: Generic Pattern Trees for Exhaustive Exceptional Model Mining. ECML/PKDD (2) 2012: 277-292
[c46]Martin Atzmueller, Florian Lemmerich: VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics. ECML/PKDD (2) 2012: 842-845
[c45]Christoph Scholz, Martin Atzmueller, Gerd Stumme: On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties. SocialCom/PASSAT 2012: 312-321
[e3]Alvin Chin, Martin Atzmueller, Denis Helic (Eds.): Proceedings of the 3rd international workshop on Modeling social media, MSM 2012, Milwaukee, WI, USA, June 25, 2012. ACM 2012, ISBN 978-1-4503-1402-2- 2011
[j6]Martin Atzmüller, Dominik Benz, Stephan Doerfel, Andreas Hotho, Robert Jäschke, Bjoern Elmar Macek, Folke Mitzlaff, Christoph Scholz, Gerd Stumme: Enhancing Social Interactions at Conferences. it - Information Technology 53(3): 101-107 (2011)
[c44]
[c43]
[c42]Christoph Scholz, Stephan Doerfel, Martin Atzmueller, Andreas Hotho, Gerd Stumme: Resource-Aware On-line RFID Localization Using Proximity Data. ECML/PKDD (3) 2011: 129-144
[c41]Bjoern Elmar Macek, Martin Atzmueller, Gerd Stumme: Profile Mining in CVS-Logs and Face-to-Face Contacts for Recommending Software Developers. SocialCom/PASSAT 2011: 250-257
[c40]Florian Lemmerich, Martin Atzmueller: Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining. SocialCom/PASSAT 2011: 1356-1363
[e2]Martin Atzmüller, Andreas Hotho, Markus Strohmaier, Alvin Chin (Eds.): 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. Lecture Notes in Computer Science 6904, Springer 2011, ISBN 978-3-642-23598-6- 2010
[j5]Christian H. Weiß, Martin Atzmüller: EWMA control charts for monitoring binary processes with applications to medical diagnosis data. Quality and Reliability Eng. Int. 26(8): 795-805 (2010)
[c39]Martin Atzmueller, Thomas Roth-Berghofer: Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining. ExaCt 2010: 1-12
[c38]Florian Lemmerich, Mathias Rohlfs, Martin Atzmüller: Fast Discovery of Relevant Subgroup Patterns. FLAIRS Conference 2010
[c37]Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho, Gerd Stumme: Community Assessment Using Evidence Networks. MSM/MUSE 2010: 79-98
[c36]Martin Atzmueller, Thomas Roth-Berghofer: The Mining and Analysis Continuum of Explaining Uncovered. SGAI Conf. 2010: 273-278
2000 – 2009
- 2009
[j4]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher: A Semi-Automatic Approach for Confounding-Aware Subgroup Discovery. International Journal on Artificial Intelligence Tools 18(1): 81-98 (2009)
[c35]Martin Atzmueller, Grzegorz J. Nalepa: A Textual Subgroup Mining Approach for Rapid ARD+ Model Capture. FLAIRS Conference 2009
[c34]Martin Atzmüller, Frank Puppe, Stephanie Beer: A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining. FLAIRS Conference 2009
[c33]Martin Atzmüller, Florian Lemmerich: Fast Subgroup Discovery for Continuous Target Concepts. ISMIS 2009: 35-44
[c32]- 2008
[j3]Martin Atzmüller, Frank Puppe: A case-based approach for characterization and analysis of subgroup patterns. Appl. Intell. 28(3): 210-221 (2008)
[c31]Frank Puppe, Martin Atzmüller, Georg Buscher, Matthias Hüttig, Hardi Luehrs, Hans-Peter Buscher: Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT). ECAI 2008: 683-687
[c30]Martin Atzmüller, Frank Puppe: Semi-Automatic Refinement and Assessment of Subgroup Patterns. FLAIRS Conference 2008: 323-328
[c29]Martin Atzmüller, Florian Lemmerich: A Methodological Approach for the Effective Modeling of Bayesian Networks. KI 2008: 160-168
[c28]Peter Klügl, Martin Atzmüller, Frank Puppe: Test-Driven Development of Complex Information Extraction Systems using TextMarker. KESE 2008
[c27]Martin Atzmüller, Peter Klügl, Frank Puppe: Rule-Based Information Extraction for Structured Data Acquisition using TextMarker. LWA 2008: 1-7
[c26]Florian Lemmerich, Martin Atzmüller: Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology. LWA 2008: 69-76
[c25]Peter Klügl, Martin Atzmüller, Frank Puppe: Integrating the Rule-Based IE Component TextMarker into UIMA. LWA 2008: 73-77
[e1]Joachim Baumeister, Martin Atzmüller (Eds.): LWA 2008 - Workshop-Woche: Lernen, Wissen & Adaptivität, Würzburg, 6.-8. Oktober 2008, Proceedings. Technical Report 448, Department of Computer Science, University of Würzburg, Germany 2008- 2007
[c24]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Pattern-Constrained Test Case Generation. FLAIRS Conference 2007: 518-523
[c23]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher: Onto Confounding-Aware Subgroup Discovery. ICTAI (2) 2007: 163-170
[c22]Martin Atzmüller, Peter Klügl, Joachim Baumeister, Frank Puppe: Rapid knowledge capture using subgroup discovery with incremental refinement. K-CAP 2007: 31-38
[c21]Martin Atzmüller: Experience Management with Task-Configurations and Task-Patterns for Descriptive Data Mining. KESE 2007
[c20]
[c19]Martin Atzmüller, Frank Puppe: Causal Subgroup Analysis for Detecting Confounding. INAP/WLP 2007: 136-148
[c18]Martin Atzmüller, Dietmar Seipel: Using Declarative Specifications of Domain Knowledge for Descriptive Data Mining. INAP/WLP 2007: 149-164- 2006
[b1]Martin Atzmüller: Knowledge-intensive subgroup mining: techniques for automatic and interactive discovery. Julius Maximilian University of Würzburg 2006, ISBN 978-3-89838-307-3, pp. 1-214
[j2]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Semi-automatic learning of simple diagnostic scores utilizing complexity measures. Artificial Intelligence in Medicine 37(1): 19-30 (2006)
[c17]Martin Atzmüller, Frank Puppe: A Methodological View on Knowledge-Intensive Subgroup Discovery. EKAW 2006: 318-325
[c16]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Introspective Subgroup Analysis for Interactive Knowledge Refinement. FLAIRS Conference 2006: 402-407
[c15]Joachim Baumeister, Martin Atzmüller, Peter Klügl, Frank Puppe: Conservative and Creative Strategies for the Refinement of Scoring Rules. FLAIRS Conference 2006: 408-413
[c14]
[c13]Martin Atzmüller, Frank Puppe: SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery. PKDD 2006: 6-17- 2005
[j1]Martin Atzmüller, Frank Puppe: Semi-Automatic Visual Subgroup Mining using VIKAMINE. J. UCS 11(11): 1752-1765 (2005)
[c12]Martin Atzmüller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, Frank Puppe: Subgroup Mining for Interactive Knowledge Refinement. AIME 2005: 453-462
[c11]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher: Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. IJCAI 2005: 647-652
[c10]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Exemplifying Subgroup Mining Results for Interactive Knowledge Refinement. Leipziger Informatik-Tage 2005: 101-106
[c9]Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher: Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). Wissensmanagement 2005: 299-304
[c8]Frank Puppe, Georg Buscher, Martin Atzmüller, Matthias Hüttig, Hans-Peter Buscher: Clinical Experiences with a Knowledge-Based System in Sonography (SonoConsult). Wissensmanagement (LNCS Volume) 2005: 319-329- 2004
[c7]Martin Atzmüller, Joachim Baumeister, Frank Puppe, Wenqi Shi, John A. Barnden: Case-Based Approaches for Diagnosing Multiple Disorders. FLAIRS Conference 2004: 154-159
[c6]Wenqi Shi, John A. Barnden, Martin Atzmüller, Joachim Baumeister: An Intelligent Diagnosis System Handling Multiple Disorders. Intelligent Information Processing 2004: 421-430
[c5]Martin Atzmüller, Frank Puppe, Hans-Peter Buscher: Towards Knowledge-Intensive Subgroup Discovery. LWA 2004: 111-117
[c4]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases. INAP/WLP 2004: 65-78- 2003
[c3]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Inductive Learning of Simple Diagnostic Scores. ISMDA 2003: 23-30
[c2]Martin Atzmüller, Joachim Baumeister, Frank Puppe: Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults. Wissensmanagement 2003: 275-276- 2002
[c1]Joachim Baumeister, Martin Atzmüller, Frank Puppe: Inductive Learning for Case-Based Diagnosis with Multiple Faults. ECCBR 2002: 28-42
Coauthor Index
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last updated on 2013-06-02 03:08 CEST by the dblp team



