Björn Bringmann
Björn Bringmann
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.kuleuven.be - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
What is frequent in a single graph?
B Bringmann, S Nijssen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 858-863, 2008
2202008
Mining graph evolution rules
M Berlingerio, F Bonchi, B Bringmann, A Gionis
joint European conference on machine learning and knowledge discovery in …, 2009
2192009
Learning and predicting the evolution of social networks
B Bringmann, M Berlingerio, F Bonchi, A Gionis
IEEE Intelligent Systems 25 (4), 26-35, 2010
1702010
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
832006
Pattern-based classification: A unifying perspective
B Bringmann, S Nijssen, A Zimmermann
arXiv preprint arXiv:1111.6191, 2011
682011
One in a million: picking the right patterns
B Bringmann, A Zimmermann
Knowledge and Information Systems 18 (1), 61-81, 2009
502009
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
502005
Frequent hypergraph mining
T Horváth, B Bringmann, L De Raedt
International Conference on Inductive Logic Programming, 244-259, 2006
282006
CTC-correlating tree patterns for classification
A Zimmermann, B Bringmann
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
252005
Network graph evolution rule generation
F Bonchi, A Gionis, M Berlingerio, B Bringmann
US Patent 8,204,904, 2012
192012
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
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, 2010
102010
Frequent SMILES.
B Bringmann, A Karwath
LWA, 132-137, 2004
92004
NegPSpan: efficient extraction of negative sequential patterns with embedding constraints
T Guyet, R Quiniou
Data Mining and Knowledge Discovery 34 (2), 563-609, 2020
8*2020
Mining patterns in structured data
B Bringmann
72009
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
42010
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part II
P Frasconi, N Landwehr, G Manco, J Vreeken
Springer, 2016
32016
Aggregated subset mining
A Zimmermann, B Bringmann
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 664-672, 2009
32009
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Artikkelit 1–20