Björn Bringmann

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Albrecht ZimmermannUniversité de CaenVerified email at unicaen.fr
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be
Michele BerlingerioNovartis - Insight Strategy & DesignVerified email at novartis.com
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
Francesco BonchiResearch Director at CentaiVerified email at centai.eu
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Nikolaj TattiUniversity of HelsinkiVerified email at helsinki.fi
Elisa FromontProfessor, Université de Rennes, FranceVerified email at irisa.fr
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Andreas KarwathAssociate Professor, Deputy Programme Director Health Data Science, University of Birmingham, UKVerified email at bham.ac.uk
Fabrizio CostaUniversity of ExeterVerified email at exeter.ac.uk
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Friedrich NeubarthOFAIVerified email at ofai.at
Gemma GarrigaINRIAVerified email at inria.fr
Volker TrespLudwig Maximilian University of Munich / München (LMU)Verified email at dbs.ifi.lmu.de
Pauli MiettinenProfessor of Data Science, University of Eastern FinlandVerified email at uef.fi
Derek GreeneAssociate Professor, School of Computer Science, University College Dublin, IrelandVerified email at ucd.ie
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de

Björn Bringmann

Deloitte AI Institute - Katholieke Universiteit Leuven

Verified email at cs.kuleuven.be - Homepage

Artificial Intelligence Big Data Machine Learning Data Mining Pattern Mining


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What is frequent in a single graph? B Bringmann, S Nijssen Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008	264	2008
Mining graph evolution rules M Berlingerio, F Bonchi, B Bringmann, A Gionis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	247	2009
Learning and predicting the evolution of social networks B Bringmann, M Berlingerio, F Bonchi, A Gionis IEEE Intelligent Systems 25 (04), 26-35, 2010	194	2010
Pattern-based classification: A unifying perspective B Bringmann, S Nijssen, A Zimmermann arXiv preprint arXiv:1111.6191, 2011	79	2011
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	79	2006
One in a million: picking the right patterns B Bringmann, A Zimmermann Knowledge and Information Systems 18, 61-81, 2009	54	2009
Tree ² – Decision Trees for Tree Structured Data B Bringmann, A Zimmermann Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005	53	2005
Frequent hypergraph mining T Horváth, B Bringmann, L De Raedt Inductive Logic Programming: 16th International Conference, ILP 2006 …, 2007	33	2007
Network graph evolution rule generation F Bonchi, A Gionis, M Berlingerio, B Bringmann US Patent 8,204,904, 2012	31	2012
CTC-correlating tree patterns for classification A Zimmermann, B Bringmann Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005	25	2005
Fast, effective molecular feature mining by local optimization A Zimmermann, B Bringmann, U Rückert Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	15	2010
Matching in frequent tree discovery B Bringmann Fourth IEEE International Conference on Data Mining (ICDM'04), 335-338, 2004	14	2004
Mining sets of patterns B Bringmann, S Nijssen, N Tatti, J Vreeken, A Zimmermann Tutorial at ECMLPKDD, 104, 2010	12	2010
Frequent SMILES. B Bringmann, A Karwath LWA, 132-137, 2004	9	2004
Mining patterns in structured data B Bringmann Katholieke Universiteit Leuven, Ph. D. Thesis, 2009	8	2009
Transformation-based regression B Bringmann, S Kramer, F Neubarth, H Pirker, G Widmer Proceedings of the Nineteenth International Conference on Machine Learning …, 2002	6	2002
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part III B Berendt, B Bringmann, É Fromont, G Garriga, P Miettinen, N Tatti, ... Springer, 2016	5	2016
From local patterns to classification models B Bringmann, S Nijssen, A Zimmermann Inductive databases and constraint-based data mining, 127-154, 2010	5	2010
Aggregated subset mining A Zimmermann, B Bringmann Pacific-Asia Conference on Knowledge Discovery and Data Mining, 664-672, 2009	3	2009
Towards Combining Structured Pattern Mining and Graph Kernels F Costa, B Bringmann 2008 IEEE International Conference on Data Mining Workshops, 192-201, 2008	3	2008

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