Highlighted publications:

  • Philipp Singer*, Florian Lemmerich*, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, and Jure Leskovec. Why we read Wikipedia. International World Wide Web Conference (WWW), pages 1591–1600, 2017. (*equal contribution.)
  • Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, and Markus Strohmaier.
    What makes a link successful on Wikipedia? International World Wide Web Conference (WWW), pages 917–926, 2017
  • Anna Samoilenko, Florian Lemmerich, Katrin Weller, Maria Zens, and Markus Strohmaier. Analysing timelines of national histories across Wikipedia editions: A comparative computational approach. International Conference on Web and Social Media (ICWSM), pages 210–219, 2017
  • Florian Lemmerich, Martin Atzmueller, and Frank Puppe. Fast exhaustive subgroup discovery with numerical target concepts. Data Mining and Knowledge Discovery, 30(3):711–762, 2016
  • Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho, and Markus Strohmaier. Mining subgroups with exceptional transition behavior. International Conference on Knowledge Discovery and Data Mining (KDD), pages 965–974, 2016
  • Florian Lemmerich, Martin Becker, and Frank Puppe. Difference-based estimates for generalization-aware subgroup discovery. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 288–303, 2013. Best Paper Award.

Full list of peer-reviewed publications:

2017

  • Martin Becker, Florian Lemmerich, Philipp Singer, Markus Strohmaier, and Andreas Hotho. Mixedtrails: Bayesian hypotheses comparison on heterogeneous sequential data. Data Mining and Knowledge Discovery, ECML PKDD 2016 Journal Track Special Issue, 2017. to appear
  • Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier, and Philipp Singer. Janus: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs. Applied Network Science, 2017. to appear
  • Philipp Singer*, Florian Lemmerich*, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, and Jure Leskovec. Why we read Wikipedia. International World Wide Web Conference (WWW), pages 1591–1600, 2017. (*equal contribution.)
  • Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, and Markus Strohmaier.
    What makes a link successful on Wikipedia? International World Wide Web Conference (WWW), pages 917–926, 2017
  • Anna Samoilenko, Florian Lemmerich, Katrin Weller, Maria Zens, and Markus Strohmaier. Analysing timelines of national histories across Wikipedia editions: A comparative computational approach. International Conference on Web and Social Media (ICWSM), pages 210–219, 2017
  • Marcin Skowron, Florian Lemmerich, Bruce Ferwerda, and Markus Schedl. Predicting genre preferences from cultural and socio-economic factors for music retrieval. European Conference on IR Research (ECIR), pages 561–567, 2017
  • Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espín-Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, and Markus Strohmaier. Comparing hypotheses on sequential behavior: A Bayesian approach and its applications. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2017. to appear

 

2016

  • Florian Lemmerich, Martin Atzmueller, and Frank Puppe. Fast exhaustive subgroup discovery with numerical target concepts. Data Mining and Knowledge Discovery, 30(3):711–762, 2016
  • Florian Lemmerich, Martin Becker, Philipp Singer, Denis Helic, Andreas Hotho, and Markus Strohmaier. Mining subgroups with exceptional transition behavior. International Conference on Knowledge Discovery and Data Mining (KDD), pages 965–974, 2016
  • Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier, and Philipp Singer. A hypotheses-driven Bayesian approach for understanding edge formation in attributed multigraphs. International Workshop on Complex Networks and their Applications, pages 3–16, 2016
  • Martin Becker, Hauke Mewes, Andreas Hotho, Dimitar Dimitrov, Florian Lemmerich, and Markus Strohmaier. Sparktrails: A mapreduce implementation of hyptrails for comparing hypotheses about human trails. International World Wide Web Conference (WWW, Companion Volume), pages 17–18, 2016
  • Dimitar Dimitrov, Philipp Singer, Florian Lemmerich, and Markus Strohmaier. Visual positions of links and clicks on Wikipedia. International World Wide Web Conference (WWW, Companion Volume), pages 27–28, 2016
  • Lisette Espín Noboa, Florian Lemmerich, Philipp Singer, and Markus Strohmaier. Discovering and characterizing mobility patterns in urban spaces: A study of Manhattan taxi data. International Workshop on Location and the Web at the International World Wide Web Conference (WWW), pages 537–542, 2016
  • Philipp Singer and Florian Lemmerich. Analyzing sequential user behavior on the web. International World Wide Web Conference (WWW, Companion  Volume), pages 1035–1036, 2016
  • Alexander Dallmann, Thomas Niebler, Florian Lemmerich, and Andreas Hotho. Extracting semantics from random walks on wikipedia: Comparing learning and counting methods. Wiki Workshop at the International Conference on Web and Social Media (ICWSM), 2016

 

2015

  • Martin Atzmueller and Florian Lemmerich, editors. Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015), co-located with ECML PKDD conference, 2015
  • Martin Becker, Philipp Singer, Florian Lemmerich, Andreas Hotho, Denis Helic,
    and Markus Strohmaier. Photowalking the city: Comparing hypotheses about urban photo trails on Flickr. International Conference on Social Informatics (SocInfo), pages 227–244, 2015
  • Thomas Zinner, Florian Lemmerich, Susanna Schwarzmann, Matthias Hirth, Peter Karg, and Andreas Hotho. Text categorization for deriving the application quality in enterprises using ticketing systems. International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pages 325–336, 2015
  • Alexander Dallmann, Florian Lemmerich, Daniel Zoller, and Andreas Hotho. Media bias in german online newspapers. Conference on Hypertext & Social  Media (HT), pages 133–137, 2015
  • Martin Becker, Philipp Singer, Florian Lemmerich, Andreas Hotho, Denis Helic, and Markus Strohmaier. Viztrails: An information visualization tool for exploring geographic movement trajectories. Conference on Hypertext & Social Media (HT), pages 319–320, 2015

 

2014

  • Florian Lemmerich. Novel techniques for efficient and effective subgroup discovery. PhD thesis, Universität Würzburg, 2014
  • Florian Lemmerich. Neue Techniken zur effizienten und effektiven  Subgruppenentdeckung. Ausgezeichnete Informatikdissertationen 2014, pages 161–170, 2014
  • Florian Lemmerich and Frank Puppe. A critical view on automatic significance-filtering in pattern mining. Workshop on Statistically Sound Data Mining at the ECML PKDD conference, pages 21–27, 2014

 

2013

  • Florian Lemmerich, Martin Becker, and Frank Puppe. Difference-based estimates for generalization-aware subgroup discovery. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 288–303, 2013. Best Paper Award.
  • Martin Atzmueller and Florian Lemmerich. Exploratory pattern mining on social media using geo-references and social tagging information. International Journal of Web Science, 2(1/2):80–112, 2013
  • Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, and Frank Puppe. Exploiting structural consistencies with stacked conditional random fields. Mathematical Methodologies in Pattern Recognition and Machine Learning, pages 111–125. 2013
  • Georg Dietrich, Florian Lemmerich, and Frank Puppe. Smoothed discretization for simplified cutpoints. Lernen, Wissen, Adaptieren (LWA), pages 103–106, 2013

 

2012

  • Florian Lemmerich, Martin Becker, and Martin Atzmueller. Generic pattern trees for exhaustive exceptional model mining. European Conference on Machine  Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 277–292, 2012
  • Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, and Frank Puppe. Collective information extraction with context-specific consistencies. European Conference on Machine Learning and Knowledge Discovery in  Databases (ECML/PKDD), pages 728–743, 2012
  • Peter Kluegl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, and Frank Puppe. Stacked conditional random fields exploiting structural consistencies. International Conference on Pattern Recognition Applications and Methods (ICPRAM), pages 240–249, 2012
  • Martin Atzmueller and Florian Lemmerich. VIKAMINE – open-source subgroup discovery, pattern mining, and analytics. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), pages 842–845, 2012
  • Reinhard Hatko, Florian Lemmerich, Joachim Baumeister, and Frank Puppe. Simulation-based test case generation for clinical guidelines. International  Workshop on Process-oriented Information Systems in Healthcare / International Workshop on Knowledge Representation for Health Care, 2012

 

2011

  • Florian Lemmerich and Frank Puppe. Local models for expectation-driven subgroup discovery. International Conference on Data Mining (ICDM), pages 360–369, 2011
  • Florian Lemmerich, Marianus Ifland, and Frank Puppe. Identifying influence
    factors on students success by subgroup discovery. International Conference on
    Educational Data Mining (EDM), pages 345–346, 2011
  • Jochen Reutelshoefer, Albrecht Striffler, Florian Lemmerich, and Frank Puppe. Incremental compilation of knowledge documents for markup-based closed-world authoring. International Conference on Knowledge Capture (KCAP), pages 81–88, 2011
  • Florian Lemmerich and Martin Atzmueller. Describing locations using tags and images: explorative pattern mining in social media. Workshop on Modeling and
    Mining Ubiquitous Social Media at the SocialCom conference, pages 77–96, 2011
  • Florian Lemmerich and Martin Atzmueller. Modeling location-based profiles of social image media using explorative pattern mining. Workshop on Modeling Social Media, User Interface Modeling in Social Media (MSM) at the International Conference on Privacy, Security, Risk and Trust (PASSAT) and International Conference on Social Computing (SocialCom), pages 1356–1363, 2011
  • Martin Atzmueller and Florian Lemmerich. VIKAMINE – a rich-client environment for intelligent pattern mining and subgroup discovery. Lernen, Wissen, Adaptivität (LWA), pages 43–44, 2011
  • Florian Lemmerich, Marianus Ifland, and Frank Puppe. Identifying and presenting influence factors on students success by subgroup discovery. Lernen, Wissen, Adaptivität (LWA), pages 129–132, 2011

 

2010

  • Florian Lemmerich, Mathias Rohlfs, and Martin Atzmueller. Fast discovery of relevant subgroup patterns. International Florida Artificial Intelligence Research Society Conference (FLAIRS), pages 428–433, 2010
  • Jochen Reutelshoefer, Florian Lemmerich, Joachim Baumeister, Jorit Wintjes, and Lorenz Haas. Taking OWL to Athens. semantic web technology takes ancient greek history to students. Extended Semantic Web Conference, pages 333–347, 2010
  • Benedikt Kaempgen, Florian Lemmerich, and Martin Atzmueller. Decisionmaker- aware design of descriptive data mining. International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), pages 561–566, 2010

 

2009

  • Martin Atzmueller and Florian Lemmerich. Fast subgroup discovery for continuous target concepts. Internation Symposium on Foundations of Intelligent Systems (ISMIS), pages 35–44, 2009
  • Martin Atzmueller, Florian Lemmerich, Beate Krause, and Andreas Hotho. Who are the spammers? understandable local patterns for concept description. Conference on Computer Methods and Systems, 2009
  • Florian Lemmerich and Martin Atzmueller. Incorporating exceptions: Efficient mining of e-relevant subgroup patterns. Workshop “From Local Patterns to  Global Models” at the ECML/PKDD, pages 94–107, 2009
  • Martin Atzmueller, Florian Lemmerich, Jochen Reutelshoefer, and Frank Puppe. Wiki-enabled semantic data mining-task design, evaluation and refinement. International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS), 2009
  • Martin Atzmueller, Florian Lemmerich, Beate Krause, and Andreas Hotho. Towards understanding spammers–discovering local patterns for concept description. Workshop “From Local Patterns to Global Models” at the ECML/PKDD, pages 1–18, 2009
  • Jochen Reutelshoefer, Fabian Haupt, Florian Lemmerich, and Joachim Baumeister. An extensible semantic wiki architecture. Workshop on Semantic Wikis – The Semantic Wiki Web, 2009
  • Martin Atzmueller, Florian Lemmerich, and Frank Puppe. Fast and effective subgroup mining for continuous target variables. Lernen, Wissen, Adaptivität (LWA), pages 1–8, 2009

 

2008

  • Martin Atzmueller and Florian Lemmerich. A methodological approach for the effective modeling of Bayesian networks. Annual German Conference on Artificial Intelligence (KI), pages 160–168, 2008
  • Florian Lemmerich and Martin Atzmueller. Generating evaluation data using Bayesian networks – a simple and effective modeling methodology. Lernen, Wissen, Adaptieren (LWA), pages 69–76, 2008