RASCL: a randomised approach to subspace clusters.

Sandy Moens

Sandy Moens Boris Cule Bart Goethals RASCL: a randomised approach to subspace clusters. 243-259 2022 14 Int. J. Data Sci. Anal. 3 https://doi.org/10.1007/s41060-022-00327-y db/journals/ijdsa/ijdsa14.html#MoensCG22

Joey De Pauw Sandy Moens Bart Goethals SubSect - An Interactive Itemset Visualization. 2019 BNAIC/BENELEARN https://ceur-ws.org/Vol-2491/abstract116.pdf conf/bnaic/2019 db/conf/bnaic/bnaic2019.html#PauwMG19 Joey De Pauw Sandy Moens Bart Goethals SubSect - An Interactive Itemset Visualization. 165-181 2019 BNAIC/BENELEARN (Selected Papers) https://doi.org/10.1007/978-3-030-65154-1_10 conf/bnaic/2019s db/conf/bnaic/bnaic2019s.html#PauwMG19a Sandy Moens Boris Cule Bart Goethals A Sampling-Based Approach for Discovering Subspace Clusters. 61-71 2019 DS https://doi.org/10.1007/978-3-030-33778-0_6 conf/dis/2019 db/conf/dis/dis2019.html#MoensCG19 Sandy Moens Olivier Jeunen Bart Goethals Interactive evaluation of recommender systems with SNIPER: an episode mining approach. 538-539 2019 RecSys https://doi.org/10.1145/3298689.3346965 conf/recsys/2019 db/conf/recsys/recsys2019.html#MoensJG19 Sandy Moens Pattern mining made easy University of Antwerp, Belgium 2014 https://hdl.handle.net/10067/1190180151162165141 Sandy Moens Mario Boley Bart Goethals Providing Concise Database Covers Instantly by Recursive Tile Sampling. 216-227 2014 Discovery Science https://doi.org/10.1007/978-3-319-11812-3_19 conf/dis/2014 db/conf/dis/dis2014.html#MoensBG14 Sandy Moens Mario Boley Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling. 203-214 2014 IDA https://doi.org/10.1007/978-3-319-12571-8_18 conf/ida/2014 db/conf/ida/ida2014.html#MoensB14 Sandy Moens Emin Aksehirli Bart Goethals Frequent Itemset Mining for Big Data. 111-118 2013 IEEE BigData https://doi.org/10.1109/BigData.2013.6691742 https://doi.ieeecomputersociety.org/10.1109/BigData.2013.6691742 conf/bigdataconf/2013 db/conf/bigdataconf/bigdataconf2013.html#MoensAG13 Sandy Moens Bart Goethals Randomly sampling maximal itemsets. 79-86 2013 IDEA@KDD https://doi.org/10.1145/2501511.2501523 conf/kdd/2013idea db/conf/kdd/idea2013.html#MoensG13 Mario Boley Sandy Moens Thomas Gärtner 0001 Linear space direct pattern sampling using coupling from the past. 69-77 2012 KDD https://doi.org/10.1145/2339530.2339545 https://www.wikidata.org/entity/Q58503543 conf/kdd/2012 db/conf/kdd/kdd2012.html#BoleyMG12 Bart Goethals Sandy Moens Jilles Vreeken MIME: a framework for interactive visual pattern mining. 757-760 2011 KDD https://doi.org/10.1145/2020408.2020529 conf/kdd/2011 db/conf/kdd/kdd2011.html#GoethalsMV11 Bart Goethals Sandy Moens Jilles Vreeken MIME: A Framework for Interactive Visual Pattern Mining. 634-637 2011 ECML/PKDD (3) https://doi.org/10.1007/978-3-642-23808-6_45 conf/pkdd/2011-3 db/conf/pkdd/pkdd2011-3.html#GoethalsMV11 Emin Aksehirli Mario Boley Boris Cule Thomas Gärtner 0001 Bart Goethals Olivier Jeunen Joey De Pauw Jilles Vreeken