Bart Goethals
Bart Goethals
Professor of Computer Science, University of Antwerp
Verified email at uantwerp.be - Homepage
TitleCited byYear
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
4452005
Mining all non-derivable frequent itemsets
T Calders, B Goethals
Principles of Data Mining and Knowledge Discovery, 74-86, 2002
3732002
Survey on frequent pattern mining
B Goethals
Univ. of Helsinki 19, 840-852, 2003
3372003
Tiling databases
F Geerts, B Goethals, T Mielikäinen
International conference on discovery science, 278-289, 2004
2562004
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
2482010
Advances in frequent itemset mining implementations: Report on FIMI'03.
B Goethals, MJ Zaki
SIGKDD Explorations 6 (1), 109-117, 2004
2072004
Frequent itemset mining for big data
S Moens, E Aksehirli, B Goethals
2013 IEEE International Conference on Big Data, 111-118, 2013
1752013
Non-derivable itemset mining
T Calders, B Goethals
Data Mining and Knowledge Discovery 14 (1), 171-206, 2007
1682007
Frequent set mining
B Goethals
Data mining and knowledge discovery handbook, 377-397, 2005
1622005
FIMI’03: Workshop on frequent itemset mining implementations
B Goethals, MJ Zaki
Third IEEE International Conference on Data Mining Workshop on Frequent …, 2003
153*2003
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), R57, 2011
1102011
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
1082013
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
arXiv preprint cs/0112013, 2001
1062001
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
1042008
Frequent itemset mining dataset repository
B Goethals
Frequent Itemset Mining Implementations (FIMI'03), 2003, 2003
104*2003
Advances in frequent itemset mining implementations: Introduction to fimi03
B Goethals
Proc. IEEE ICDM Workshop on FIMI'03, 2003
842003
Advances in frequent itemset mining implementations: introduction to FIMI'03
B Goethals, MJ Zaki
FIMI'03 Workshop on Frequent Itemset Mining Implementations, 2003
842003
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, 2013
762013
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
762010
Efficient pattern mining of uncertain data with sampling
T Calders, C Garboni, B Goethals
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 480-487, 2010
762010
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