| Mining closed strict episodes N Tatti, B Cule Data Mining and Knowledge Discovery 25 (1), 34-66, 2012 | 79 | 2012 |
| Pattern based sequence classification C Zhou, B Cule, B Goethals IEEE Transactions on knowledge and Data Engineering 28 (5), 1285-1298, 2015 | 61 | 2015 |
| Mining closed episodes with simultaneous events N Tatti, B Cule Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 51 | 2011 |
| Collaborative filtering for binary, positiveonly data K Verstrepen, K Bhaduriy, B Cule, B Goethals ACM SIGKDD Explorations Newsletter 19 (1), 1-21, 2017 | 44 | 2017 |
| Selecting relevant features from the electronic health record for clinical code prediction E Scheurwegs, B Cule, K Luyckx, L Luyten, W Daelemans Journal of biomedical informatics 74, 92-103, 2017 | 42 | 2017 |
| Mining train delays B Cule, B Goethals, S Tassenoy, S Verboven International Symposium on Intelligent Data Analysis, 113-124, 2011 | 42 | 2011 |
| Pattern-based anomaly detection in mixed-type time series L Feremans, V Vercruyssen, B Cule, W Meert, B Goethals Joint European conference on machine learning and knowledge discovery in …, 2019 | 34 | 2019 |
| Grasping frequent subgraph mining for bioinformatics applications A Mrzic, P Meysman, W Bittremieux, P Moris, B Cule, B Goethals, ... BioData mining 11 (1), 1-24, 2018 | 29 | 2018 |
| A new constraint for mining sets in sequences B Cule, B Goethals, C Robardet Proceedings of the 2009 SIAM International Conference on Data Mining, 317-328, 2009 | 29 | 2009 |
| Mining association rules in graphs based on frequent cohesive itemsets T Hendrickx, B Cule, P Meysman, S Naulaerts, K Laukens, B Goethals Pacific-Asia Conference on Knowledge Discovery and Data Mining, 637-648, 2015 | 24 | 2015 |
| A pattern based predictor for event streams C Zhou, B Cule, B Goethals Expert Systems with Applications 42 (23), 9294-9306, 2015 | 23 | 2015 |
| Marbles: Mining association rules buried in long event sequences B Cule, N Tatti, B Goethals Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (2), 93-110, 2014 | 18 | 2014 |
| Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns P Meysman, C Zhou, B Cule, B Goethals, K Laukens BioData mining 8 (1), 1-15, 2015 | 17 | 2015 |
| Itemset based sequence classification C Zhou, B Cule, B Goethals Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 16 | 2013 |
| Mining association rules in long sequences B Cule, B Goethals Pacific-Asia conference on knowledge discovery and data mining, 300-309, 2010 | 16 | 2010 |
| Mining Top-k Quantile-based Cohesive Sequential Patterns L Feremans, B Cule, B Goethals Proceedings of the 2018 SIAM international conference on data mining, 90-98, 2018 | 10 | 2018 |
| Combining instance and feature neighbours for extreme multi-label classification L Feremans, B Cule, C Vens, B Goethals International Journal of Data Science and Analytics 10 (3), 215-231, 2020 | 8 | 2020 |
| Efficient discovery of sets of co-occurring items in event sequences B Cule, L Feremans, B Goethals Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 8 | 2016 |
| Pattern mining for learning typical turbine response during dynamic wind turbine events L Feremans, B Cule, C Devriendt, B Goethals, J Helsen International Design Engineering Technical Conferences and Computers and …, 2017 | 7 | 2017 |
| Discovery of Spatially Cohesive Itemsets in Three-dimensional Protein Structures C Zhou, P Meysman, B Cule, K Laukens, B Goethals IEEE, 2014 | 7 | 2014 |
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerp.be
