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
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Andreas KarwathUniversity of Birmingham, UKVerified email at humansensor.org
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
Derek GreeneAssistant Professor, School of Computer Science, University College Dublin, IrelandVerified email at ucd.ie
Elisa FromontProfessor, Université de Rennes 1, 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 Maximilian University of Munich / München (LMU) and Siemens AGVerified 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 Pacific-Asia Conference on Knowledge Discovery and Data Mining, 858-863, 2008	239	2008
Mining graph evolution rules M Berlingerio, F Bonchi, B Bringmann, A Gionis joint European conference on machine learning and knowledge discovery in …, 2009	232	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	182	2010
Don’t be afraid of simpler patterns B Bringmann, A Zimmermann, LD Raedt, S Nijssen European Conference on Principles of Data Mining and Knowledge Discovery, 55-66, 2006	81	2006
Pattern-based classification: A unifying perspective B Bringmann, S Nijssen, A Zimmermann arXiv preprint arXiv:1111.6191, 2011	73	2011
One in a million: picking the right patterns B Bringmann, A Zimmermann Knowledge and Information Systems 18 (1), 61-81, 2009	54	2009
Tree ² – Decision Trees for Tree Structured Data B Bringmann, A Zimmermann European Conference on Principles of Data Mining and Knowledge Discovery, 46-58, 2005	54	2005
Frequent hypergraph mining T Horváth, B Bringmann, LD Raedt International Conference on Inductive Logic Programming, 244-259, 2006	30	2006
CTC-correlating tree patterns for classification A Zimmermann, B Bringmann Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005	25	2005
Network graph evolution rule generation F Bonchi, A Gionis, M Berlingerio, B Bringmann US Patent 8,204,904, 2012	24	2012
Fast, effective molecular feature mining by local optimization A Zimmermann, B Bringmann, U Rückert Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	14	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	11	2010
Frequent SMILES. B Bringmann, A Karwath LWA, 132-137, 2004	9	2004
Mining patterns in structured data B Bringmann	7	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
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
To see the wood for the trees: Mining frequent tree patterns B Bringmann Constraint-Based Mining and Inductive Databases, 38-63, 2006	3	2006

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