MIME: a framework for interactive visual pattern mining. - Bart Goethals; Sandy Moens; Jilles Vreeken (KDD, 2011)

Linear space direct pattern sampling using coupling from the past. - Mario Boley; Sandy Moens; Thomas Gärtner 001 (KDD, 2012)

Frequent Itemset Mining for Big Data. - Sandy Moens; Emin Aksehirli; Bart Goethals (IEEE BigData, 2013)

Randomly sampling maximal itemsets. - Sandy Moens; Bart Goethals (IDEA@KDD, 2013)

Providing Concise Database Covers Instantly by Recursive Tile Sampling. - Sandy Moens; Mario Boley; Bart Goethals (Discovery Science, 2014)

Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. - Sandy Moens; Mario Boley (IDA, 2014)

Pattern mining made easy - Sandy Moens (2014)

SubSect - An Interactive Itemset Visualization. - Joey De Pauw; Sandy Moens; Bart Goethals (BNAIC/BENELEARN, 2019)

A Sampling-Based Approach for Discovering Subspace Clusters. - Sandy Moens; Boris Cule; Bart Goethals (DS, 2019)

Interactive evaluation of recommender systems with SNIPER: an episode mining approach. - Sandy Moens; Olivier Jeunen; Bart Goethals (RecSys, 2019)

RASCL: a randomised approach to subspace clusters. - Sandy Moens; Boris Cule; Bart Goethals (Int. J. Data Sci. Anal., 2022)