Bart Goethals

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	All	Since 2016
Citations	6006	2196
h-index	39	25
i10-index	73	50

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Toon CaldersUniversity of AntwerpVerified email at uantwerpen.be
Boris CuleUniversity of AntwerpVerified email at uantwerpen.be
Mohammed J. ZakiProfessor, Computer Science Department, RPIVerified email at cs.rpi.edu
Kris LaukensProfessor Biodata Mining & Bioinformatics, University of AntwerpVerified email at uantwerpen.be
Sandy MoensUniversity of AntwerpVerified email at ua.ac.be
Jan Van den BusscheProfessor, Hasselt UniversityVerified email at uhasselt.be
Pieter MeysmanPost-doc researcher, University of AntwerpVerified email at uantwerpen.be
M. Emin AkşehirliUniversity of AntwerpVerified email at uantwerpen.be
Taneli MielikäinenYahoo!Verified email at yahoo-inc.com
Walter DaelemansProfessor of Computational Linguistics, University of AntwerpVerified email at uantwerpen.be
Floris GeertsUniversity of AntwerpVerified email at uantwerp.be
Jeroen De Knijfdata scientist, Randstad GroupVerified email at randstadgroep.nl
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
Anthony LiekensSelf-employed mad scientist, community builder, R&D contractor, and inventor for hireVerified email at liekens.net
Koen Verstrepenpostdoctoral researcher, University of AntwerpVerified email at uantwerp.be
Jilles VreekenCISPA Helmholtz Center for Information Security; Professor, Saarland UniversityVerified email at cispa.saarland
Elisa FromontProfessor, Université de Rennes 1, FranceVerified email at irisa.fr
Francesco BonchiScientific Director of ISI FoundationVerified email at isi.it
Wout BittremieuxUniversity of California San Diego – University of AntwerpVerified email at ucsd.edu
Trung Nghia VuKarolinska InstitutetVerified email at ki.se

Bart Goethals

Professor of Computer Science, University of Antwerp

Verified email at uantwerp.be - Homepage

Data Mining Big Data Analytics Data Science Recommender Systems


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On private scalar product computation for privacy-preserving data mining B Goethals, S Laur, H Lipmaa, T Mielikäinen Information Security and Cryptology–ICISC 2004, 104-120, 2005	512	2005
Mining all non-derivable frequent itemsets T Calders, B Goethals Principles of Data Mining and Knowledge Discovery, 74-86, 2002	399	2002
Survey on frequent pattern mining B Goethals Univ. of Helsinki 19, 840-852, 2003	363	2003
Predicting the severity of a reported bug A Lamkanfi, S Demeyer, E Giger, B Goethals 2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010 …, 2010	327	2010
Tiling databases F Geerts, B Goethals, T Mielikäinen International conference on discovery science, 278-289, 2004	285	2004
Frequent itemset mining for big data S Moens, E Aksehirli, B Goethals 2013 IEEE International Conference on Big Data, 111-118, 2013	232	2013
Advances in frequent itemset mining implementations: Report on FIMI'03. B Goethals, MJ Zaki SIGKDD Explorations 6 (1), 109-117, 2004	215	2004
Non-derivable itemset mining T Calders, B Goethals Data Mining and Knowledge Discovery 14 (1), 171-206, 2007	179	2007
FIMI’03: Workshop on frequent itemset mining implementations B Goethals, MJ Zaki Third IEEE International Conference on Data Mining Workshop on Frequent …, 2003	160	2003
Clasp: An efficient algorithm for mining frequent closed sequences A Gomariz, M Campos, R Marin, B Goethals Pacific-Asia Conference on Knowledge Discovery and Data Mining, 50-61, 2013	145	2013
Mining frequent itemsets in a stream T Calders, N Dexters, JJM Gillis, B Goethals Information Systems 39, 233-255, 2014	134	2014
BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation AML Liekens, J De Knijf, W Daelemans, B Goethals, P De Rijk, ... Genome biology 12 (6), 1-12, 2011	125	2011
Automatic vandalism detection in Wikipedia: Towards a machine learning approach K Smets, B Goethals, B Verdonk AAAI workshop on Wikipedia and artificial intelligence: An Evolving Synergy …, 2008	118	2008
A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model T Brijs, B Goethals, G Swinnen, K Vanhoof, G Wets Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	114	2000
Frequent itemset mining dataset repository B Goethals Frequent Itemset Mining Implementations (FIMI'03), 2003, 2003	111*	2003
Frequent set mining B Goethals Data mining and knowledge discovery handbook, 377-397, 2005	104	2005
A primer to frequent itemset mining for bioinformatics S Naulaerts, P Meysman, W Bittremieux, TN Vu, W Vanden Berghe, ... Briefings in bioinformatics 16 (2), 216-231, 2015	101	2015
Advances in frequent itemset mining implementations: Introduction to fimi03 B Goethals Proc. IEEE ICDM Workshop on FIMI'03, 2003	88	2003
Advances in frequent itemset mining implementations: introduction to FIMI'03 B Goethals, MJ Zaki FIMI'03 Workshop on Frequent Itemset Mining Implementations, 2003	88	2003
Approximation of frequentness probability of itemsets in uncertain data T Calders, C Garboni, B Goethals 2010 IEEE International Conference on Data Mining, 749-754, 2010	87	2010

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