@article{kluegl2013exploiting,
  abstract = {Conditional Random Fields (CRF) are popular methods for labeling unstructured or textual data. Like many machine learning approaches, these undirected graphical models assume the instances to be independently distributed. However, in real-world applications data is grouped in a natural way, e.g., by its creation context. The instances in each group often share additional structural consistencies. This paper proposes a domain-independent method for exploiting these consistencies by combining two CRFs in a stacked learning framework. We apply rule learning collectively on the predictions of an initial CRF for one context to acquire descriptions of its specific properties. Then, we utilize these descriptions as dynamic and high quality features in an additional (stacked) CRF. The presented approach is evaluated with a real-world dataset for the segmentation of references and achieves a significant reduction of the labeling error.},
  author = {Kluegl, Peter and Toepfer, Martin and Lemmerich, Florian and Hotho, Andreas and Puppe, Frank},
  interhash = {9ef3f543e4cc9e2b0ef078595f92013b},
  intrahash = {fbaab25e96dd20d96ece9d7fefdc3b4f},
  journal = {Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics},
  pages = {111-125},
  title = {Exploiting Structural Consistencies with Stacked Conditional Random Fields},
  volume = 30,
  year = 2013
}

@inproceedings{dallmann2015media,
  address = {Cyprus, Turkey, September 1-4},
  author = {Dallmann, Alexander and Lemmerich, Florian and Zoller, Daniel and Hotho, Andreas},
  booktitle = {26th ACM Conference on Hypertext and Social Media},
  interhash = {6b2daa7830c5e504543dcdaefed46285},
  intrahash = {addfd0d84b4347392dc94a4bec400412},
  publisher = {ACM},
  title = {Media Bias in German Online Newspapers},
  year = 2015
}

@article{atzmueller2013exploratory,
  author = {Atzmueller, Martin and Lemmerich, Florian},
  interhash = {6e83bf4017fffe31a5632289d91c1b6d},
  intrahash = {9f176520035c05191d77ebd53803b817},
  journal = {International Journal of Web Science (Special Issue on Social Web Search and Mining)},
  number = {1/2},
  title = {{Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information}},
  volume = 2,
  year = 2013
}

@incollection{LA:12,
  address = {Heidelberg, Germany},
  alteditor = {Editor},
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {{Modeling and Mining Ubiquitous Social Media}},
  interhash = {ae9dc5bfe7f42f1e9ca59aadda4bfd9e},
  intrahash = {8435f029bf0e32340e2cf44d0eeb65e7},
  publisher = {Springer Verlag},
  series = {LNAI},
  title = {{Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media}},
  url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf},
  volume = 7472,
  year = 2012
}

@inproceedings{AL:12a,
  address = {Heidelberg, Germany},
  author = {Atzmueller, Martin and Lemmerich, Florian},
  booktitle = {Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted},
  interhash = {6f00bb468dbc49b2adf426302bcf39f6},
  intrahash = {e2aac1cdeabeeb4568e2ef4ffe9464d2},
  publisher = {Springer Verlag},
  title = {{VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics}},
  url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf},
  year = 2012
}

@inproceedings{conf/pkdd/KluglTLHP12,
  author = {Klügl, Peter and Toepfer, Martin and Lemmerich, Florian and Hotho, Andreas and Puppe, Frank},
  booktitle = {ECML/PKDD (1)},
  crossref = {conf/pkdd/2012-1},
  editor = {Flach, Peter A. and Bie, Tijl De and Cristianini, Nello},
  ee = {http://dx.doi.org/10.1007/978-3-642-33460-3_52},
  interhash = {ccd3a716939562b7e91ecb057ae7df2d},
  intrahash = {afd38525dbe0f52db7389e03aa7df1f7},
  isbn = {978-3-642-33459-7},
  pages = {728-743},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Collective Information Extraction with Context-Specific Consistencies.},
  url = {http://dblp.uni-trier.de/db/conf/pkdd/pkdd2012-1.html#KluglTLHP12},
  volume = 7523,
  year = 2012
}

@inproceedings{kluegl2012stacked,
  abstract = {Conditional Random Fields CRF are popular methods for labeling unstructured or textual data. Like many machine learning approaches these undirected graphical models assume the instances to be independently distributed. However, in real world applications data is grouped in a natural way, e.g., by its creation context. The instances in each group often share additional structural consistencies. This paper proposes a domain-independent method for exploiting these consistencies by combining two CRFs in a stacked learning framework. The approach incorporates three successive steps of inference: First, an initial CRF processes single instances as usual. Next, we apply rule learning collectively on all labeled outputs of one context to acquire descriptions of its specific properties. Finally, we utilize these descriptions as dynamic and high quality features in an additional stacked CRF. The presented approach is evaluated with a real-world dataset for the segmentation of references and achieves a significant reduction of the labeling error.},
  address = {Vilamoura, Algarve, Portugal},
  author = {Klügl, Peter and Toepfer, Martin and Lemmerich, Florian and Hotho, Andreas and Puppe, Frank},
  booktitle = {Proceedings of 1st International Conference on Pattern Recognition Applications and Methods ICPRAM},
  editor = {Carmona, Pedro Latorre and Sánchez, J. Salvador and Fred, Ana},
  interhash = {74969e59c5637d192021e35bbd02bece},
  intrahash = {7920d13d4fce68bb9a4947585083986e},
  pages = {240-248},
  publisher = {SciTePress},
  title = {Stacked Conditional Random Fields Exploiting Structural Consistencies},
  url = {http://ki.informatik.uni-wuerzburg.de/papers/pkluegl/2012-ICPRAM-StackedCRF.pdf},
  year = 2012
}

@inproceedings{atzmueller2011vikamine,
  author = {Atzmueller, Martin and Lemmerich, Florian},
  booktitle = {Proceedings of the LWA 2011 - Learning, Knowledge, Adaptation},
  interhash = {79b076947a2b7c00e234adf840a7636c},
  intrahash = {56521f54efa8a332927a512bafcd8042},
  title = {VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery},
  year = 2011
}

@inproceedings{LA:10,
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {Proc. 23rd FLAIRS Conference},
  interhash = {60aec4cb1288ac3b10cac5941a24bd90},
  intrahash = {15793feea44048a02344592d85f797a2},
  title = {Fast Discovery of Relevant Subgroup Patterns},
  year = 2010
}

@inproceedings{LA:11MSM,
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {Proc. IEEE SocialCom 2011, Workshop on Modeling Social Media (MSM 2011)},
  interhash = {c2b76c00f7f484d6f46b361a9f0336cf},
  intrahash = {222ccbe9b3a900091c4148e2a93fff81},
  publisher = {IEEE Computer Society},
  title = {Modeling Location-Based Profiles of Social Image Media using Explorative Pattern Mining},
  year = 2011
}

@inproceedings{KLA:10,
  author = {Kaempgen, Benedikt and Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)},
  interhash = {3bddbc334c820858b48ae85c13453aea},
  intrahash = {f5965d05c7d74d2db0ee3da004d9f2ea},
  title = {Decision-Maker-Aware Design of Descriptive Data Mining},
  year = 2010
}

@inproceedings{atze09,
  address = {Krakow, Poland},
  author = {Atzmueller, Martin and Lemmerich, Florian and Krause, Beate and Hotho, Andreas},
  booktitle = {7th Conference on Computer Methods and Systems},
  interhash = {c226a55c0cc2dc6f261b86c09225c260},
  intrahash = {014dbd07807e05a5ea9aafb2dbead39b},
  month = {November},
  note = {ISBN 83-916420-5-4},
  title = {Who are the Spammers? Understandable Local Patterns for Concept Description},
  url = {http://www.cms.agh.edu.pl/},
  year = 2009
}

@inproceedings{LA:09,
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {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},
  editor = {Knobbe, Johannes F\"urnkranz Arno},
  interhash = {b3b0f2ecf02d4b58d787b29fdfdbe8e0},
  intrahash = {0c6a9543bb5381a57baf8837db7b4249},
  note = {accepted},
  title = {{Incorporating Exceptions: Efficient Mining of epsilon-Relevant Subgroup Patterns}},
  year = 2009
}

@inproceedings{AL:08,
  author = {{Martin Atzmueller and Florian Lemmerich}},
  booktitle = {Proc. 31st Annual German Conference on Artificial Intelligence (KI 2008)},
  interhash = {79c86c2eefe4e0bdb16761485c09f054},
  intrahash = {ed1494a7c9fd41e1720c330ff3144596},
  pages = {160--168},
  title = {{A Methodological Approach for the Effective Modeling of Bayesian Networks}},
  year = 2008
}

@inproceedings{AL:09,
  author = {Atzmueller, Martin and Lemmerich, Florian},
  booktitle = {Proc. 18th International Symposium on Methodologies for Intelligent Systems (ISMIS 2009), in press},
  interhash = {530588fdfd74b6403f81df0ccfc2a701},
  intrahash = {b44e7404e2b2172822d65f3c11523be4},
  series = {LNCS},
  title = {{Fast Subgroup Discovery for Continuous Target Concepts}},
  year = 2009
}

@inproceedings{LA:08,
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {Proc. LWA 2008 (Knowledge Discovery and Machine Learning Track), accepted},
  interhash = {3d1dfa5c05b36a9f2b6d2442e726eeaa},
  intrahash = {b85e10b9e9ccc76fb69110201c1f098c},
  optaddress = {Wuerzburg, Germany},
  publisher = {University of Wuerzburg},
  title = {{Generating Evaluation Data using Bayesian Networks - A Simple and Effective Modeling Methodology}},
  year = 2008
}

@inproceedings{ALKH:09,
  author = {Atzmueller, Martin and Lemmerich, Florian and Krause, Beate and Hotho, Andreas},
  booktitle = {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},
  editor = {Knobbe, Johannes F\"urnkranz Arno},
  interhash = {d27cd7eee4ab571ad3753a3d370141ce},
  intrahash = {bb80bdcc06c8886968c453fd920dfe05},
  note = {accepted},
  title = {{Towards Understanding Spammers - Discovering Local Patterns for Concept Characterization and Description}},
  year = 2009
}

@inproceedings{LA:10,
  author = {Lemmerich, Florian and Atzmueller, Martin},
  booktitle = {Proc. 23rd FLAIRS Conference},
  interhash = {60aec4cb1288ac3b10cac5941a24bd90},
  intrahash = {15793feea44048a02344592d85f797a2},
  title = {Fast Discovery of Relevant Subgroup Patterns},
  year = 2010
}

@inproceedings{atze09,
  address = {Krakow, Poland},
  author = {Atzmüller, Martin and Lemmerich, Florian and Krause, Beate and Hotho, Andreas},
  booktitle = {7th Conference on Computer Methods and Systems},
  interhash = {b5c5cbe7163c7a72b6ea968e7f95eadd},
  intrahash = {ddb43c532ffc1c5ed8b7e7cfb54510a3},
  month = {November},
  note = {ISBN 83-916420-5-4},
  title = {Who are the Spammers - Understandable Local Patterns for Concept Description},
  url = {http://www.cms.agh.edu.pl/},
  year = 2009
}

@inproceedings{atzmueller09,
  address = {Bled, Slovenia},
  author = {Atzmueller, Martin and Lemmerich, Florian and Krause, Beate and Hotho, Andreas},
  booktitle = {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},
  editor = {Fürnkranz, Johannes and Knobbe, Arno},
  interhash = {1daffe94dd29c20e28f848377e86de17},
  intrahash = {23d61080328d5e143484a0fadd223c91},
  month = {September},
  note = {accepted},
  title = {Spammer Discrimination: Discovering Local Patterns for Concept Characterization and Description},
  year = 2009
}