GOETHALS, Bart

Full Name
GOETHALS, Bart
Email
bart.goethals@uhasselt.be
 
Loading... 5 0 5 0 false
Loading... 6 0 5 0 false

Publications

Results 1-32 of 32 (Search time: 0.013 seconds).

Issue DateTitleContributor(s)TypeCat.
12015Protein complex analysis: From raw protein lists to protein interaction networksMeysman, Pieter; Titeca, Kevin; Eyckerman, Sven; Tavernier, Jan; GOETHALS, Bart; Martens, Lennart; VALKENBORG, Dirk; Laukens, KrisJournal ContributionA1
22014Mining frequent itemsets in a streamCalders, Toon; Dexters, Nele; GILLIS, Joris; GOETHALS, BartJournal ContributionA1
32014Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniquesTrung Nghia, Vu; Mrzic, Aida; VALKENBORG, Dirk; Maes, Evelyne; Lemiere, Filip; GOETHALS, Bart; Laukens, KrisJournal ContributionA1
42014Efficient Reduction of Candidate Matches in Peptide Spectrum Library Searching Using the Top k Most Intense PeaksTrung Nghia, Vu; Bittremieux, Wout; VALKENBORG, Dirk; GOETHALS, Bart; Lemiere, Filip; Laukens, KrisJournal ContributionA1
52011An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry dataVu, Trung N.; VALKENBORG, Dirk; SMETS, Koen; Verwaest, Kim A.; Dommisse, Roger; Lemiere, Filip; Verschoren, Alain; GOETHALS, Bart; Laukens, KrisJournal ContributionA1
62007Non-derivable itemset miningCalders, Toon; GOETHALS, BartJournal ContributionA1
72006Mining frequent items in a stream using flexible windowsGOETHALS, Bart; Calders, T.; Dexters, N.Research ReportR2
82006Integrating pattern mining in relational databasesCalders, Toon; GOETHALS, Bart; Prado, AdrianaJournal ContributionA1
92006Quick inclusion-exclusionCalders, T; GOETHALS, BartJournal ContributionA1
102005Mining Tree Queries in a GraphGOETHALS, Bart; HOEKX, Eveline; VAN DEN BUSSCHE, JanProceedings PaperC1
112005Knowledge discovery in inductive databases: 3rd International Workshop, KDID 2004, Pisa, Italy, September 20, 2004GOETHALS, Bart; Siebes, ArnoBookB1
122005Mining non-derivable association rulesGOETHALS, Bart; Muhonen, Juho; Toivonen, H.Proceedings PaperC1
132005Frequent set miningGOETHALS, BartBook SectionB3
142005Exploratieve statistiek voor het secundair onderwijsCALLAERT, Herman; GOETHALS, Bart; BEKAERT, Hans; PROVOOST, Lies; VANCAUDENBERG, MarcResearch ReportR2
152005Tight upper bounds on the number of candidate patternsGEERTS, Floris; GOETHALS, Bart; VAN DEN BUSSCHE, JanJournal ContributionA1
162004Tiling DatabasesGEERTS, Floris; GOETHALS, Bart; Mielikäinen, TaneliJournal ContributionA1
172004FP-bonsai: the art of growing and pruning small FP-treesBonchi, F.; GOETHALS, BartJournal ContributionA1
182004Advances in frequent itemset mining implementations: report of FIMI'03GOETHALS, Bart; Zaki, Mohammed J.Journal ContributionA2
192004Proceedings of the IEEE ICDM Workshop on Frequent Itemset Mining Implementations (FIMI 2004)Bayardo, R.; GOETHALS, Bart; Zaki, M.J.Book
202004Memory issues in frequent itemset miningGOETHALS, BartProceedings PaperC1
212004On private scalar product computation for privacy-preserving data miningGOETHALS, Bart; Laur, Sven; Lipmaa, Helger; Mielikäinen, TaneliJournal ContributionA1
222003What You Store is What You GetGEERTS, Floris; GOETHALS, Bart; Mielikäinen, TaneliProceedings PaperC1
232003Minimal k-free representationsCalders, Toon; GOETHALS, BartJournal ContributionA1
242003Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations (FIMI'03)GOETHALS, Bart; Zaki, M.J.BookB3
252002Relational Association Rules: Getting WARM eRGOETHALS, Bart; VAN DEN BUSSCHE, JanJournal ContributionA1
262002Efficient frequent pattern miningGOETHALS, BartTheses and DissertationsT1
272002Mining all non-derivable frequent itemsetsCalders, T.; GOETHALS, BartProceedings PaperC1
282002Efficient frequent pattern miningGOETHALS, BartBookB3
292001A Tight Upper Bound on the Number of Candidate PatternsGEERTS, Floris; GOETHALS, Bart; VAN DEN BUSSCHE, JanProceedings PaperC1
302000On supporting interactive association rule miningGOETHALS, Bart; VAN DEN BUSSCHE, JanJournal ContributionA1
312000A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET modelBRIJS, Tom; GOETHALS, Bart; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
321999A priori versus a posteriori filtering of association rulesGOETHALS, Bart; VAN DEN BUSSCHE, JanProceedings Paper