VANHOOF, Koen

Full Name
VANHOOF, Koen
Email
koen.vanhoof@uhasselt.be
 
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Publications

Refined By:
Author:  WETS, Geert
Date Issued:  [2000 TO 2009]

Results 61-80 of 84 (Search time: 0.004 seconds).

Issue DateTitleContributor(s)TypeCat.
612002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
622002Multidimensional sequence alignment methods: discovering navigation patterns on websites presenting page- and time informationWETS, Geert; VANHOOF, Koen; HAY, BirgitProceedings PaperC1
632002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
642002Measuring feature performance in customer satisfaction studies applying Bayesian network approachJARONSKI, Waldemar; Bloemer, Josée; VANHOOF, Koen; WETS, GeertProceedings PaperC2
652002Tuning the multivariate Poisson mixture model for clustering supermarket shoppersBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertResearch ReportR2
662002Profiling high frequency accident locations using associations rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenResearch ReportR2
672002The Impact of Irrelevant Attributes on the Performance of Classifier Systems in Generating Activity SchedulesMOONS, Elke; WETS, Geert; AERTS, Marc; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
682002The role of Occam's razor in activity based modelingMOONS, Elke; WETS, Geert; AERTS, Marc; VANHOOF, KoenProceedings PaperC1
692002Stationary and time-varying patterns in activity diary panel data - Explorative analysis with association rulesKEULEERS, Bertold; WETS, Geert; TIMMERMANS, Harry; VANHOOF, Koen; Arentze, Theo A.Journal ContributionA1
702001Use of Bayesian belief networks to help understand online audienceJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC2
712001Clustering navigation patterns on a website using a sequence alignment methodHAY, Birgit; WETS, Geert; VANHOOF, KoenProceedings PaperC2
722001Gaining insight into characteristics of online audiences with new approachesJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC2
732001A position and page-sensitive sequence alignment method illustrated for visiting patterns within websitesHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA2
742001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
752001How well perform very simple rules on activity diary data?MOONS, Elke; WETS, Geert; VANHOOF, Koen; AERTS, Marc; TIMMERMANS, HarryProceedings PaperC2
762000Representation and discovery of fuzzy association rules (FARs)Chen, G.; WETS, Geert; VANHOOF, KoenResearch ReportR2
772000Reducing redundancy in characteristic rule discovery by using integer programming techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
782000Identifying decision structures underlying activity patterns: an exploration of data mining algorithmsWETS, Geert; VANHOOF, Koen; Arentze, T.; TIMMERMANS, HarryJournal ContributionA1
792000Comparing complete and partial classification for identifying latently dissatisfied customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
802000A 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