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 BerlingerioExecutive Director, MSD Animal HealthVerified email at msd.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
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
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
Fabrizio CostaUniversity of ExeterVerified email at exeter.ac.uk
Derek GreeneAssociate Professor, School of Computer Science, University College Dublin, IrelandVerified email at ucd.ie
Elisa FromontProfessor, Université de Rennes, FranceVerified email at irisa.fr
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Gemma GarrigaINRIAVerified email at inria.fr
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verified email at dbs.ifi.lmu.de
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it

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	286	2008
Mining graph evolution rules M Berlingerio, F Bonchi, B Bringmann, A Gionis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009	264	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	206	2010
Pattern-based classification: A unifying perspective B Bringmann, S Nijssen, A Zimmermann arXiv preprint arXiv:1111.6191, 2011	83	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	53	2009
Tree ² – Decision Trees for Tree Structured Data B Bringmann, A Zimmermann Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on …, 2005	50	2005
Network graph evolution rule generation F Bonchi, A Gionis, M Berlingerio, B Bringmann US Patent 8,204,904, 2012	37	2012
Frequent hypergraph mining T Horváth, B Bringmann, L De Raedt Inductive Logic Programming: 16th International Conference, ILP 2006 …, 2007	37	2007
CTC-correlating tree patterns for classification A Zimmermann, B Bringmann Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005	24	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	13	2004
Mining sets of patterns B Bringmann, S Nijssen, N Tatti, J Vreeken, A Zimmermann Tutorial at ECMLPKDD, 104, 2010	11	2010
Mining patterns in structured data B Bringmann Katholieke Universiteit Leuven, Ph. D. Thesis, 2009	8	2009
Frequent SMILES. B Bringmann, A Karwath LWA, 132-137, 2004	8	2004
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
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	2	2009
Towards Combining Structured Pattern Mining and Graph Kernels F Costa, B Bringmann 2008 IEEE International Conference on Data Mining Workshops, 192-201, 2008	2	2008
To see the wood for the trees: Mining frequent tree patterns B Bringmann Constraint-Based Mining and Inductive Databases: European Workshop on …, 2005	2	2005

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