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Frederik Janssen
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Deepred–rule extraction from deep neural networks
JR Zilke, E Loza Mencía, F Janssen
International Conference on Discovery Science, 457-473, 2016
1922016
On the quest for optimal rule learning heuristics
F Janssen, J Fürnkranz
Machine Learning 78 (3), 343-379, 2010
882010
Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and …
M Atzmueller, A Chin, F Janssen, I Schweizer, C Trattner
Springer, 2016
442016
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
E Loza Mencía, F Janssen
Machine Learning 105 (1), 77-126, 2016
352016
Heuristic rule-based regression via dynamic reduction to classification
F Janssen, J Fürnkranz
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
322011
Semantic abstraction for generalization of tweet classification: An evaluation of incident-related tweets
A Schulz, C Guckelsberger, F Janssen
Semantic Web 8 (3), 353-372, 2017
302017
A re-evaluation of the over-searching phenomenon in inductive rule learning
F Janssen, J Fürnkranz
Proceedings of the 2009 SIAM International Conference on Data Mining, 329-340, 2009
262009
On meta-learning rule learning heuristics
F Janssen, J Furnkranz
Seventh IEEE International Conference on Data Mining (ICDM 2007), 529-534, 2007
242007
HotMatch results for OEAI 2012.
TT Dang, A Gabriel, S Hertling, P Roskosch, M Wlotzka, JR Zilke, ...
OM, 2012
202012
Separate-and-conquer Regression.
F Janssen, J Fürnkranz
LWA, 81-88, 2010
182010
Separating rule refinement and rule selection heuristics in inductive rule learning
J Stecher, F Janssen, J Fürnkranz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
172014
An empirical investigation of the trade-off between consistency and coverage in rule learning heuristics
F Janssen, J Fürnkranz
International Conference on Discovery Science, 40-51, 2008
172008
Using data mining on linked open data for analyzing e-procurement information
EL Mencıa, S Holthausen, A Schulz, F Janssen
Proceedings of the first DMoLD: Data Mining on Linked Data Workshop at ECML/PKDD, 2013
122013
Shorter rules are better, aren’t they?
J Stecher, F Janssen, J Fürnkranz
International conference on discovery science, 279-294, 2016
102016
Learning Semantically Coherent Rules
A Gabriel, H Paulheim, F Janssen
Interactions between Data Mining and Natural Language Processing, 49, 2014
92014
Towards Rule Learning Approaches to Instance-based Ontology Matching.
F Janssen, F Fallahi, J Noessner, H Paulheim
KNOW@ LOD 868, 13-18, 2012
92012
Stacking label features for learning multilabel rules
E Loza Mencía, F Janssen
International Conference on Discovery Science, 192-203, 2014
82014
On trading off consistency and coverage in inductive rule learning
F Janssen, J Fürnkranz
82006
Predicting cargo train failures: a machine learning approach for a lightweight prototype
S Kauschke, J Fürnkranz, F Janssen
International Conference on Discovery Science, 151-166, 2016
72016
What Is Good for One City May Not Be Good for Another One: Evaluating Generalization for Tweet Classification Based on Semantic Abstraction.
A Schulz, F Janssen
S4SC@ ISWC, 53-67, 2014
72014
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Articles 1–20