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Sandy Moens
2020 – today
- 2022
- [j1]Sandy Moens, Boris Cule, Bart Goethals:
RASCL: a randomised approach to subspace clusters. Int. J. Data Sci. Anal. 14(3): 243-259 (2022)
2010 – 2019
- 2019
- [c11]Joey De Pauw, Sandy Moens, Bart Goethals:
SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN 2019 - [c10]Joey De Pauw, Sandy Moens, Bart Goethals:
SubSect - An Interactive Itemset Visualization. BNAIC/BENELEARN (Selected Papers) 2019: 165-181 - [c9]Sandy Moens, Boris Cule, Bart Goethals:
A Sampling-Based Approach for Discovering Subspace Clusters. DS 2019: 61-71 - [c8]Sandy Moens, Olivier Jeunen, Bart Goethals:
Interactive evaluation of recommender systems with SNIPER: an episode mining approach. RecSys 2019: 538-539 - 2014
- [b1]Sandy Moens:
Pattern mining made easy. University of Antwerp, Belgium, 2014 - [c7]Sandy Moens, Mario Boley, Bart Goethals:
Providing Concise Database Covers Instantly by Recursive Tile Sampling. Discovery Science 2014: 216-227 - [c6]Sandy Moens, Mario Boley:
Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. IDA 2014: 203-214 - 2013
- [c5]Sandy Moens, Emin Aksehirli, Bart Goethals:
Frequent Itemset Mining for Big Data. IEEE BigData 2013: 111-118 - [c4]Sandy Moens, Bart Goethals:
Randomly sampling maximal itemsets. IDEA@KDD 2013: 79-86 - 2012
- [c3]Mario Boley, Sandy Moens, Thomas Gärtner:
Linear space direct pattern sampling using coupling from the past. KDD 2012: 69-77 - 2011
- [c2]Bart Goethals, Sandy Moens, Jilles Vreeken:
MIME: a framework for interactive visual pattern mining. KDD 2011: 757-760 - [c1]Bart Goethals, Sandy Moens, Jilles Vreeken:
MIME: A Framework for Interactive Visual Pattern Mining. ECML/PKDD (3) 2011: 634-637
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