Albrecht Zimmermann
TitleCited byYear
Pattern-based classification: a unifying perspective
B Bringmann, S Nijssen, A Zimmermann
FROM LOCAL PATTERNS TO GLOBAL MODELS, 36, 2009
1302009
Constraint-based pattern set mining
LD Raedt, A Zimmermann
proceedings of the 2007 SIAM International conference on Data Mining, 237-248, 2007
1192007
Cluster-grouping: from subgroup discovery to clustering
A Zimmermann, L De Raedt
Machine learning 77 (1), 125-159, 2009
1042009
The chosen few: On identifying valuable patterns
B Bringmann, A Zimmermann
Seventh IEEE International Conference on Data Mining (ICDM 2007), 63-72, 2007
892007
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
782006
Corclass: Correlated association rule mining for classification
A Zimmermann, L De Raedt
Discovery Science, 60-72, 2004
762004
One in a million: picking the right patterns
B Bringmann, A Zimmermann
Knowledge and Information Systems 18 (1), 61-81, 2009
482009
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
452005
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned
A Zimmermann, S Moorthy, Z Shi
arXiv preprint arXiv:1310.3607, 2013
26*2013
CTC-correlating tree patterns for classification
A Zimmermann, B Bringmann
Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005
252005
Supervised Pattern Mining and Applications to Classification
A Zimmermann, S Nijssen
Frequent Pattern Mining, 425-442, 2014
232014
Exceptional contextual subgraph mining
M Kaytoue, M Plantevit, A Zimmermann, A Bendimerad, C Robardet
Machine Learning 106 (8), 1171-1211, 2017
222017
Efficiently finding conceptual clustering models with integer linear programming
A Ouali, S Loudni, Y Lebbah, P Boizumault, A Zimmermann, L Loukil
25th International Joint Conferences on Artificial Intelligence, 2016
172016
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data
A Zimmermann
Intelligent Data Analysis 18 (5), 761-791, 2014
122014
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
122010
Ensemble-trees: Leveraging ensemble power inside decision trees
A Zimmermann
International Conference on Discovery Science, 76-87, 2008
122008
Declarative heuristic search for pattern set mining
T Guns, S Nijssen, A Zimmermann, L De Raedt
2011 IEEE 11th International Conference on Data Mining Workshops, 1104-1111, 2011
112011
The Data Problem in Data Mining
A Zimmermann
ACM SIGKDD Explorations Newsletter 16 (2), 38-45, 2015
102015
Constraint-Based Pattern Mining
S Nijssen, A Zimmermann
Frequent Pattern Mining, 147-163, 2014
102014
Objectively evaluating interestingness measures for frequent itemset mining
A Zimmermann
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 354-366, 2013
102013
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Articles 1–20