GOETHALS, Bart

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GOETHALS, Bart

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bart.goethals@uhasselt.be

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		Issue Date	Title	Contributor(s)	Type	Cat.
	1	2014	Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques	Trung Nghia, Vu; Mrzic, Aida; VALKENBORG, Dirk; Maes, Evelyne; Lemiere, Filip; GOETHALS, Bart; Laukens, Kris	Journal Contribution	A1
	2	2014	Efficient Reduction of Candidate Matches in Peptide Spectrum Library Searching Using the Top k Most Intense Peaks	Trung Nghia, Vu; Bittremieux, Wout; VALKENBORG, Dirk; GOETHALS, Bart; Lemiere, Filip; Laukens, Kris	Journal Contribution	A1
	3	2011	An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data	Vu, Trung N.; VALKENBORG, Dirk; SMETS, Koen; Verwaest, Kim A.; Dommisse, Roger; Lemiere, Filip; Verschoren, Alain; GOETHALS, Bart; Laukens, Kris	Journal Contribution	A1
	4	2005	Mining Tree Queries in a Graph	GOETHALS, Bart; HOEKX, Eveline; VAN DEN BUSSCHE, Jan	Proceedings Paper	C1
	5	2005	Exploratieve statistiek voor het secundair onderwijs	CALLAERT, Herman; GOETHALS, Bart; BEKAERT, Hans; PROVOOST, Lies; VANCAUDENBERG, Marc	Research Report	R2
	6	2005	Tight upper bounds on the number of candidate patterns	GEERTS, Floris; GOETHALS, Bart; VAN DEN BUSSCHE, Jan	Journal Contribution	A1
	7	2004	Tiling Databases	GEERTS, Floris; GOETHALS, Bart; Mielikäinen, Taneli	Journal Contribution	A1
	8	2003	What You Store is What You Get	GEERTS, Floris; GOETHALS, Bart; Mielikäinen, Taneli	Proceedings Paper	C1
	9	2002	Relational Association Rules: Getting WARM eR	GOETHALS, Bart; VAN DEN BUSSCHE, Jan	Journal Contribution	A1
	10	2002	Efficient frequent pattern mining	GOETHALS, Bart	Theses and Dissertations	T1
	11	2002	Mining all non-derivable frequent itemsets	Calders, T.; GOETHALS, Bart	Proceedings Paper	C1
	12	2002	Efficient frequent pattern mining	GOETHALS, Bart	Book	B3
	13	2001	A Tight Upper Bound on the Number of Candidate Patterns	GEERTS, Floris; GOETHALS, Bart; VAN DEN BUSSCHE, Jan	Proceedings Paper	C1
	14	2000	On supporting interactive association rule mining	GOETHALS, Bart; VAN DEN BUSSCHE, Jan	Journal Contribution	A1
	15	2000	A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model	BRIJS, Tom; GOETHALS, Bart; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert	Proceedings Paper	C2
	16	1999	A priori versus a posteriori filtering of association rules	GOETHALS, Bart; VAN DEN BUSSCHE, Jan	Proceedings Paper