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Anzahl der Einträge: 39.

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel :
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
In: KDML: Workshop on Knowledge Discovery, Data Mining and Machine Learning, Trier. In: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB
[Konferenz- oder Workshop-Beitrag], (2015)

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel :
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok.
[Online-Edition: http://www.ke.tu-darmstadt.de/bibtex/publications/show/2690]

[Report], (2015)

Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Fürnkranz, Johannes :
Event-Based Clustering for Reducing Labeling Costs of Event-Related Microposts.
[Online-Edition: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/1...]
In: Proceedings of the 9th International AAAI Conference on Web and Social Media (ICWSM2015). AAAI Press
[Konferenz- oder Workshop-Beitrag], (2015)

Schulz, Axel ; Karolus, Jakob ; Janssen, Frederik ; Schweizer, Immanuel :
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
[Online-Edition: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7089079...]
In: Proceedings of the International Conference on Networked Systems (NetSys2015). IEEE
[Konferenz- oder Workshop-Beitrag], (2015)

Schulz, Axel ; Karolus, Jakob ; Janssen, Frederik ; Schweizer, Immanuel :
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
[Online-Edition: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7089079]
In: International Conference on Networked Systems (NetSys).
[Konferenz- oder Workshop-Beitrag], (2015)

Schulz, Axel ; Ristoski, Petar ; Fürnkranz, Johannes ; Janssen, Frederik :
Event-Based Clustering for Reducing Labeling Costs of Incident-Related Microposts.
In: Proceedings of the 2nd International Workshop on Mining Urban Data co-located with the 32nd International Conference on Machine Learning, July, 11th. CEUR workshop proceedings
[Konferenz- oder Workshop-Beitrag], (2015)

Paulheim, Heiko ; Schulz, Axel ; Janssen, Frederik ; Ristoski, Petar ; Schweizer, Immanuel
Ege, Börteçin ; Humm, Bernhard ; Reibold, Anatol (eds.) :

Intelligente Datenauswertung mit Linked Open Data.
[Online-Edition: http://www.springer.com/us/book/9783642548857]
In: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften. Springer Vieweg, Springer-Verlag Berlin Heidelberg Springer-Verlag Berlin Heidelberg , pp. 187-201. ISBN 978-3642548857
[Buchkapitel], (2015)

Gabriel, Alexander ; Paulheim, Heiko ; Janssen, Frederik
Cellier, Peggy ; Charnois, Thierry ; Hotho, Andreas ; Matwin, Stan ; Moens, Marie-Francine ; Toussaint, Yannick (eds.) :

Learning Semantically Coherent Rules.
[Online-Edition: http://ceur-ws.org/Vol-1202/paper4.pdf]
In: Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France. CEUR Workshop Proceedings , Nancy, France
[Konferenz- oder Workshop-Beitrag], (2014)

Kauschke, Sebastian ; Schweizer, Immanuel ; Janssen, Frederik ; Fiebrig, Michael :
Learning to Predict Component Failures in Trains.
In: Knowledge Discovery, Data Mining and Machine Learning (KDML). In: Proceedings of the LWA 2014 Workshops: KDML, FGWM, IR, and FGDB
[Konferenz- oder Workshop-Beitrag], (2014)

Stecher, Julius ; Janssen, Frederik ; Fürnkranz, Johannes
Calders, Toon ; Esposito, Floriana ; Hüllermeier, Eyke ; Meo, Rosa (eds.) :

Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning.
[Online-Edition: http://dx.doi.org/10.1007/978-3-662-44845-8_8]
In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 3, Nancy, France. In: Lecture Notes in Computer Science , 8726 . Springer , Nancy, France
[Konferenz- oder Workshop-Beitrag], (2014)

Nolle, Timo ; Schweizer, Immanuel ; Janssen, Frederik :
Data-driven Detection of Congestion-affected Roads.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...]

[Report], (2014)

Kauschke, Sebastian ; Schweizer, Immanuel ; Fiebrig, Michael ; Janssen, Frederik
Seidl, Thomas ; Hassani, Marwan ; Beecks, Christian (eds.) :

Learning to Predict Component Failures in Trains.
[Online-Edition: http://ceur-ws.org/Vol-1226/paper13.pdf]
In: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany. CEUR Workshop Proceedings , Aachen, Germany
[Konferenz- oder Workshop-Beitrag], (2014)

Loza Mencía, Eneldo ; Janssen, Frederik
Džeroski, Sašo ; Panov, Panče ; Kocev, Dragi ; Todorovski, Ljupčo (eds.) :

Stacking Label Features for Learning Multilabel Rules.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/ds14stacki...]
In: Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014, Proceedings. Lecture Notes in Computer Science, 8777. Springer , pp. 192-203. ISBN 978-3-319-11811-6
[Buchkapitel], (2014)

Schulz, Axel ; Janssen, Frederik :
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction.
[Online-Edition: http://ceur-ws.org/Vol-1280/paper1.pdf]
In: Proceedings of the Fifth Workshop on Semantics for Smarter Cities (a Workshop at the 13th International Semantic Web Conference (ISWC 2014)).
[Konferenz- oder Workshop-Beitrag], (2014)

Schulz, Axel ; Janssen, Frederik ; Karolus, Jakob ; Schweizer, Immanuel :
Creating Noise Pollution Maps Based on User-generated Noise Data.
[Online-Edition: http://aimashup.org/aimashup2013/lib/exe/fetch.php?media=sch...]

[Konferenz- oder Workshop-Beitrag], (2013)

Loza Mencía, Eneldo ; Janssen, Frederik
Henrich, Andreas ; Sperker, Hans-Christian (eds.) :

Towards Multilabel Rule Learning.
[Online-Edition: http://www.minf.uni-bamberg.de/lwa2013/proceedings/proceedin...]
In: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2013, Bamberg, Germany. Bamberg, Germany
[Konferenz- oder Workshop-Beitrag], (2013)

Loza Mencía, Eneldo ; Holthausen, Simon ; Schulz, Axel ; Janssen, Frederik :
Using Data Mining on Linked Open Data for Analyzing E-Procurement Information.
[Online-Edition: http://ceur-ws.org/Vol-1082/paper4.pdf]
In: Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD2013.
[Konferenz- oder Workshop-Beitrag], (2013)

Janssen, Frederik :
Heuristic Rule Learning.
[Online-Edition: urn:nbn:de:tuda-tuprints-31352]
TU Darmstadt / Knowledge Engineering , Darmstadt
[Dissertation], (2012)

Janssen, Frederik :
Heuristic Rule Learning.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/3135/]
TU Darmstadt, Knowledge Engineering Group
[Dissertation]

Dang, Thanh Tung ; Gabriel, Alexander ; Hertling, Sven ; Roskosch, Philipp ; Wlotzka, Marcel ; Zilke, Jan Ruben ; Janssen, Frederik ; Paulheim, Heiko :
HotMatch results for OEAI 2012.
In: Seventh International Workshop on Ontology Matching (OM 2012).
[Konferenz- oder Workshop-Beitrag], (2012)

Janssen, Frederik ; Zopf, Markus :
The SeCo-Framework for Rule Learning.
In: Proceedings of the German Workshop on Lernen, Wissen, Adaptivität - LWA2012.
[Konferenz- oder Workshop-Beitrag], (2012)

Janssen, Frederik ; Fallahi, Faraz ; Noessner, Jan ; Paulheim, Heiko :
Towards Rule Learning Approaches to Instance-based Ontology Matching.
[Online-Edition: http://www.ke.tu-darmstadt.de/know-a-lod-2012/wp-content/upl...]
In: 1st International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD).
[Konferenz- oder Workshop-Beitrag], (2012)

Janssen, Frederik ; Fürnkranz, Johannes :
On the Quest for Optimal Rule Learning Heuristics.
In: Machine Learning, 78 (3) pp. 343-379.
[Artikel], (2010)

Janssen, Frederik ; Fürnkranz, Johannes :
The SeCo-framework for rule learning.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...]

[Report], (2010)

Janssen, Frederik ; Fürnkranz, Johannes :
Separate-and-conquer Regression.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/reports/tud-ke-20...]

[Report], (2010)

Loza Mencía, Eneldo ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) :

Efficient Voting Prediction for Pairwise Multilabel Classification.
[Online-Edition: http://www.ke.tu-darmstadt.de/publications/papers/KDML09.pdf]
Proceedings of the LWA 2009: Lernen - Wissen - Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09)
[Konferenz- oder Workshop-Beitrag], (2009)

Schweizer, Immanuel ; Panitzek, Kamill ; Park, Sang-Hyeun ; Fürnkranz, Johannes
Benz, Dominik ; Janssen, Frederik (eds.) :

An Exploitative Monte-Carlo Poker Agent.
Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09)
[Konferenz- oder Workshop-Beitrag], (2009)

Janssen, Frederik ; Fürnkranz, Johannes
Park, Haesun ; Parthasarathy, Srinivasan ; Liu, Huan ; Obradovic, Zoran (eds.) :

A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
[Online-Edition: http://www.siam.org/proceedings/datamining/2009/dm09_033_jan...]
Proceedings of the SIAM International Conference on Data Mining (SDM-09)
[Konferenz- oder Workshop-Beitrag], (2009)

Janssen, Frederik ; Fürnkranz, Johannes
Boulicaut, Jean-Francois ; Berthold, Michael R. ; Horváth, T. (eds.) :

An Empirical Investigation of the Trade-Off between Consistency and Coverage in Rule Learning Heuristics.
[Online-Edition: http://www.springerlink.com/content/5h478u088k513n6w/fulltex...]
Proceedings of the 11th International Conference on Discovery Science (DS-08) Springer-Verlag
[Konferenz- oder Workshop-Beitrag], (2008)

Janssen, Frederik ; Fürnkranz, Johannes :
An Empirical Quest for Optimal Rule Learning Heuristics.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...]

[Report], (2008)

Janssen, Frederik ; Fürnkranz, Johannes :
A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...]

[Report], (2008)

Janssen, Frederik ; Fürnkranz, Johannes :
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Proceedings of the LWA 2008: Lernen -- Wissen -- Adaption
[Konferenz- oder Workshop-Beitrag], (2008)

Janssen, Frederik ; Fürnkranz, Johannes :
Meta-Learning Rule Learning Heuristics.
Proceedings of the LWA 2007: Lernen -- Wissen -- Adaption
[Konferenz- oder Workshop-Beitrag], (2007)

Janssen, Frederik ; Fürnkranz, Johannes :
Meta-Learning Rule Learning Heuristics.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/publications/report...]

[Report], (2007)

Janssen, Frederik ; Fürnkranz, Johannes
Brazdil, Pavel B. ; Bernstein, A. (eds.) :

Meta-Learning a Rule Learning Heuristic.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/~juffi/publications...]
Proceedings of ECML-PKDD-07 Workshop on Planning to Learn (PlanLearn-07)
[Konferenz- oder Workshop-Beitrag], (2007)

Janssen, Frederik ; Fürnkranz, Johannes :
On Meta-Learning Rule Learning Heuristics.
Proceedings of the 7th IEEE Conference on Data Mining (ICDM-07)
[Konferenz- oder Workshop-Beitrag], (2007)

Janssen, Frederik ; Fürnkranz, Johannes :
On Trading Off Consistency and Coverage in Inductive Rule Learning.
In: Lernen - Wissensentdeckung - Adaptivität : 9. - 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim : Inst. für Informatik, 2006, S. 306-313 (Hildesheimer Informatik-Berichte ; 2006,1) . Inst. für Informatik , 11.10. 2006 in Hildesheim; [proceedings] / LWA 2006. Martin Schaaf ... (Hrsg.). - Hildesheim
[Konferenz- oder Workshop-Beitrag], (2006)

Janssen, Frederik :
Eine Untersuchung des Trade-Offs zwischen Precision and Coverage bei Regel-Lern-Heuristiken.
[Online-Edition: http://www.ke.informatik.tu-darmstadt.de/lehre/arbeiten/dipl...]
TU Darmstadt
[Masterarbeit], (2006)

Janssen, Frederik ; Fürnkranz, Johannes
Althoff, Klaus-Dieter ; Schaaf, M. (eds.) :

On Trading Off Consistency and Coverage in Inductive Rule Learning.
[Online-Edition: http://web1.bib.uni-hildesheim.de/2006/kdml2006/JanssenFuern...]
Proceedings of the LWA 2006, Lernen Wissensentdeckung Adaptivität Gesellschaft f{\"u}r Informatik e. V. (GI)
[Konferenz- oder Workshop-Beitrag], (2006)

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