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Bart Goethals
Bart Goethals
Professor of Computer Science, University of Antwerp
Verified email at uantwerpen.be - Homepage
Title
Cited by
Cited by
Year
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
5492005
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
4312010
Mining all non-derivable frequent itemsets
T Calders, B Goethals
Principles of Data Mining and Knowledge Discovery, 74-86, 2002
4152002
Survey on frequent pattern mining
B Goethals
Univ. of Helsinki 19, 840-852, 2003
3942003
Tiling databases
F Geerts, B Goethals, T Mielikäinen
Discovery Science: 7th International Conference, DS 2004, Padova, Italy …, 2004
3142004
Frequent itemset mining for big data
S Moens, E Aksehirli, B Goethals
2013 IEEE international conference on big data, 111-118, 2013
3002013
Advances in frequent itemset mining implementations: Report on FIMI'03.
B Goethals, MJ Zaki
SIGKDD Explorations 6 (1), 109-117, 2004
2332004
Non-derivable itemset mining
T Calders, B Goethals
Data Mining and Knowledge Discovery 14, 171-206, 2007
1932007
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
1722013
FIMI’03: Workshop on frequent itemset mining implementations
B Goethals, MJ Zaki
Third IEEE International Conference on Data Mining Workshop on Frequent …, 2003
1692003
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
158*2018
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
1562015
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
1522019
Mining frequent itemsets in a stream
T Calders, N Dexters, JJM Gillis, B Goethals
Information Systems 39, 233-255, 2014
1522014
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
1382011
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
1292008
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
1242000
Frequent set mining
B Goethals
Data mining and knowledge discovery handbook, 377-397, 2005
1122005
Unifying Nearest Neighbors Collaborative Filtering
K Verstrepen, B Goethals
Proceedings of the 8th ACM Conference on Recommender systems, 177-184, 2014
1012014
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