Bart Goethals

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Toon CaldersUniversity of AntwerpVerified email at uantwerpen.be
Boris ČuleTilburg UniversityVerified email at tilburguniversity.edu
Mohammed J. ZakiProfessor & Head, 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
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
Pieter MeysmanAssociate professor, University of AntwerpVerified email at uantwerpen.be
Jan Van den BusscheProfessor, Hasselt UniversityVerified email at uhasselt.be
Olivier JeunenLead Decision Scientist, ShareChatVerified email at sharechat.co
Taneli MielikäinenYahoo!Verified email at yahoo-inc.com
Walter DaelemansProfessor of Computational Linguistics, University of AntwerpVerified email at uantwerpen.be
Len FeremansUniversiteit AntwerpenVerified email at uantwerpen.be
M. Emin AkşehirliBooking.comVerified email at booking.com
Koen Verstrepenpostdoctoral researcher, University of AntwerpVerified email at uantwerp.be
Floris GeertsUniversity of AntwerpVerified email at uantwerp.be
Jeroen De Knijfdata scientist, Randstad GroupVerified email at randstadgroep.nl
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
François PetitjeanAustralian GovernmentVerified email at pm.me
Wout BittremieuxUniversity of AntwerpVerified email at uantwerpen.be
Francesco BonchiResearch Director at CentaiVerified email at centai.eu

Bart Goethals

Professor of Computer Science, University of Antwerp

Verified email at uantwerpen.be - Homepage

Data Mining Recommender Systems Big Data Analytics Data Science


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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	551	2005
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	440	2010
Mining all non-derivable frequent itemsets T Calders, B Goethals Principles of Data Mining and Knowledge Discovery, 74-86, 2002	419	2002
Survey on frequent pattern mining B Goethals Univ. of Helsinki 19, 840-852, 2003	395	2003
Tiling databases F Geerts, B Goethals, T Mielikäinen Discovery Science: 7th International Conference, DS 2004, Padova, Italy …, 2004	319	2004
Frequent itemset mining for big data S Moens, E Aksehirli, B Goethals 2013 IEEE international conference on big data, 111-118, 2013	303	2013
Advances in frequent itemset mining implementations: Report on FIMI'03. B Goethals, MJ Zaki SIGKDD Explorations 6 (1), 109-117, 2004	233	2004
Non-derivable itemset mining T Calders, B Goethals Data Mining and Knowledge Discovery 14, 171-206, 2007	194	2007
Clasp: An efficient algorithm for mining frequent closed sequences A Gomariz, M Campos, R Marin, B Goethals Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013	175	2013
FIMI’03: Workshop on frequent itemset mining implementations B Goethals, MJ Zaki Third IEEE International Conference on Data Mining Workshop on Frequent …, 2003	170	2003
Analyzing concept drift and shift from sample data GI Webb, LK Lee, B Goethals, F Petitjean Data Mining and Knowledge Discovery 32, 1179-1199, 2018	163*	2018
Proximity forest: an effective and scalable distance-based classifier for time series B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ... Data Mining and Knowledge Discovery 33 (3), 607-635, 2019	162	2019
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	161	2015
Mining frequent itemsets in a stream T Calders, N Dexters, JJM Gillis, B Goethals Information Systems 39, 233-255, 2014	154	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	140	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	129	2008
Frequent itemset mining dataset repository B Goethals Frequent Itemset Mining Implementations (FIMI'03), 2003, 2003	127*	2003
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	125	2000
Frequent set mining B Goethals Data mining and knowledge discovery handbook, 377-397, 2005	112	2005
Unifying Nearest Neighbors Collaborative Filtering K Verstrepen, B Goethals Proceedings of the 8th ACM Conference on Recommender systems, 177-184, 2014	102	2014

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