Sandy Moens
TitleCited byYear
Frequent itemset mining for big data
S Moens, E Aksehirli, B Goethals
2013 IEEE International Conference on Big Data, 111-118, 2013
1782013
MIME: a framework for interactive visual pattern mining
B Goethals, S Moens, J Vreeken
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
582011
Linear space direct pattern sampling using coupling from the past
M Boley, S Moens, T Gärtner
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
272012
Randomly sampling maximal itemsets
S Moens, B Goethals
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and …, 2013
192013
Instant exceptional model mining using weighted controlled pattern sampling
S Moens, M Boley
International Symposium on Intelligent Data Analysis, 203-214, 2014
162014
Providing concise database covers instantly by recursive tile sampling
S Moens, M Boley, B Goethals
International Conference on Discovery Science, 216-227, 2014
32014
Interactive and manual construction of classification trees
S Pauwels, S Moens, B Goethals
BENELEARN 2014, 81, 2014
12014
Interactive evaluation of recommender systems with SNIPER: an episode mining approach
S Moens, O Jeunen, B Goethals
Proceedings of the 13th ACM Conference on Recommender Systems, 538-539, 2019
2019
Practical approaches for mining frequent patterns in molecular datasets
S Naulaerts, S Moens, K Engelen, WV Berghe, B Goethals, K Laukens, ...
Bioinformatics and Biology insights 10, BBI. S38419, 2016
2016
Pattern mining made easy
S Moens
University of Antwerp, 2014
2014
Pattern Mining Made Easy: Proefschrift
S Moens
Universiteit Antwerpen, Faculteit Wetenschappen, Departement Wiskunde …, 2014
2014
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Articles 1–11