What is frequent in a single graph? B Bringmann, S Nijssen Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia …, 2008 | 282 | 2008 |
Mining graph evolution rules M Berlingerio, F Bonchi, B Bringmann, A Gionis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 256 | 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 | 205 | 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 | 52 | 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 |
Frequent hypergraph mining T Horváth, B Bringmann, L De Raedt Inductive Logic Programming: 16th International Conference, ILP 2006 …, 2007 | 37 | 2007 |
Network graph evolution rule generation F Bonchi, A Gionis, M Berlingerio, B Bringmann US Patent 8,204,904, 2012 | 36 | 2012 |
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 |
From local patterns to classification models B Bringmann, S Nijssen, A Zimmermann Inductive databases and constraint-based data mining, 127-154, 2010 | 5 | 2010 |
Transformation-based regression B Bringmann, S Kramer, F Neubarth, H Pirker, G Widmer Proceedings of the Nineteenth International Conference on Machine Learning …, 2002 | 5 | 2002 |
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 |