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Björn Bringmann
Björn Bringmann
Deloitte AI Institute - Katholieke Universiteit Leuven
Verified email at cs.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
What is frequent in a single graph?
B Bringmann, S Nijssen
Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008
2802008
Mining graph evolution rules
M Berlingerio, F Bonchi, B Bringmann, A Gionis
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009
2562009
Learning and predicting the evolution of social networks
B Bringmann, M Berlingerio, F Bonchi, A Gionis
IEEE Intelligent Systems 25 (04), 26-35, 2010
1982010
Don’t be afraid of simpler patterns
B Bringmann, A Zimmermann, L De Raedt, S Nijssen
European Conference on Principles of Data Mining and Knowledge Discovery, 55-66, 2006
812006
Pattern-based classification: A unifying perspective
B Bringmann, S Nijssen, A Zimmermann
arXiv preprint arXiv:1111.6191, 2011
802011
One in a million: picking the right patterns
B Bringmann, A Zimmermann
Knowledge and Information Systems 18, 61-81, 2009
532009
Tree 2 – Decision Trees for Tree Structured Data
B Bringmann, A Zimmermann
Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005
532005
Frequent hypergraph mining
T Horváth, B Bringmann, L De Raedt
Inductive Logic Programming: 16th International Conference, ILP 2006 …, 2007
372007
Network graph evolution rule generation
F Bonchi, A Gionis, M Berlingerio, B Bringmann
US Patent 8,204,904, 2012
322012
CTC-correlating tree patterns for classification
A Zimmermann, B Bringmann
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
252005
Fast, effective molecular feature mining by local optimization
A Zimmermann, B Bringmann, U Rückert
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
142010
Matching in frequent tree discovery
B Bringmann
Fourth IEEE International Conference on Data Mining (ICDM'04), 335-338, 2004
132004
Mining sets of patterns
B Bringmann, S Nijssen, N Tatti, J Vreeken, A Zimmermann
Tutorial at ECMLPKDD, 104, 2010
112010
Frequent SMILES.
B Bringmann, A Karwath
LWA, 132-137, 2004
92004
Mining patterns in structured data
B Bringmann
Katholieke Universiteit Leuven, Ph. D. Thesis, 2009
82009
Transformation-based regression
B Bringmann, S Kramer, F Neubarth, H Pirker, G Widmer
Proceedings of the Nineteenth International Conference on Machine Learning …, 2002
62002
From local patterns to classification models
B Bringmann, S Nijssen, A Zimmermann
Inductive databases and constraint-based data mining, 127-154, 2010
52010
Aggregated subset mining
A Zimmermann, B Bringmann
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 664-672, 2009
32009
Towards Combining Structured Pattern Mining and Graph Kernels
F Costa, B Bringmann
2008 IEEE International Conference on Data Mining Workshops, 192-201, 2008
32008
To see the wood for the trees: Mining frequent tree patterns
B Bringmann
Constraint-Based Mining and Inductive Databases: European Workshop on …, 2005
32005
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