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ORCIDBjörn Bringmann
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- affiliation: Katholieke Universiteit Leuven
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2010 – 2019
- 2018
[j5]Derek Greene
, Björn Bringmann, Élisa Fromont, Jesse Davis:
Introduction to the special issue for the ECML PKDD 2018 journal track. Data Min. Knowl. Discov. 32(5): 1177-1178 (2018)- [j4]Jesse Davis, Björn Bringmann, Élisa Fromont, Derek Greene:
Guest editors introduction to the special issue for the ECML PKDD 2018 journal track. Mach. Learn. 107(8-10): 1207-1208 (2018) - [j3]Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller:
The homotopy method revisited: Computing solution paths of ℓ1-regularized problems. Math. Comput. 87(313): 2343-2364 (2018) - 2016
- [e1]Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9853, Springer 2016, ISBN 978-3-319-46130-4 [contents] - 2015
- [i2]Albrecht Zimmermann, Björn Bringmann, Luc De Raedt:
Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling. CoRR abs/1501.03015 (2015) - 2011
- [i1]Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann:
Pattern-Based Classification: A Unifying Perspective. CoRR abs/1111.6191 (2011) - 2010
- [j2]Björn Bringmann, Michele Berlingerio, Francesco Bonchi, Aristides Gionis:
Learning and Predicting the Evolution of Social Networks. IEEE Intell. Syst. 25(4): 26-35 (2010) - [c15]Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert:
Fast, Effective Molecular Feature Mining by Local Optimization. ECML/PKDD (3) 2010: 563-578 - [p1]Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann:
From Local Patterns to Classification Models. Inductive Databases and Constraint-Based Data Mining 2010: 127-154
2000 – 2009
- 2009
- [j1]Björn Bringmann, Albrecht Zimmermann:
One in a million: picking the right patterns. Knowl. Inf. Syst. 18(1): 61-81 (2009) - [c14]Albrecht Zimmermann, Björn Bringmann:
Aggregated Subset Mining. PAKDD 2009: 664-672 - [c13]Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis:
Mining Graph Evolution Rules. ECML/PKDD (1) 2009: 115-130 - 2008
- [c12]Fabrizio Costa, Björn Bringmann:
Towards Combining Structured Pattern Mining and Graph Kernels. ICDM Workshops 2008: 192-201 - [c11]Björn Bringmann, Siegfried Nijssen:
What Is Frequent in a Single Graph?. PAKDD 2008: 858-863 - 2007
- [c10]Björn Bringmann, Albrecht Zimmermann:
The Chosen Few: On Identifying Valuable Patterns. ICDM 2007: 63-72 - 2006
- [c9]Tamás Horváth, Björn Bringmann, Luc De Raedt:
Frequent Hypergraph Mining. ILP 2006: 244-259 - [c8]Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen:
Don't Be Afraid of Simpler Patterns. PKDD 2006: 55-66 - 2005
- [c7]Albrecht Zimmermann, Björn Bringmann:
CTC - Correlating Tree Patterns for Classification. ICDM 2005: 833-836 - [c6]Björn Bringmann, Albrecht Zimmermann:
Tree2 - Decision Trees for Tree Structured Data. LWA 2005: 139-144 - [c5]Björn Bringmann, Albrecht Zimmermann:
Tree2 - Decision Trees for Tree Structured Data. PKDD 2005: 46-58 - 2004
- [c4]Björn Bringmann:
To See the Wood for the Trees: Mining Frequent Tree Patterns. Constraint-Based Mining and Inductive Databases 2004: 38-63 - [c3]Björn Bringmann:
Matching in Frequent Tree Discovery. ICDM 2004: 335-338 - [c2]Björn Bringmann, Andreas Karwath:
Frequent SMILES. LWA 2004: 132-137 - 2002
- [c1]Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer:
Transformation-Based Regression. ICML 2002: 59-66
Coauthor Index
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