VANHOOF, Koen

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

Results 261-280 of 314 (Search time: 0.007 seconds).

Issue DateTitleContributor(s)TypeCat.
2612002Profiling high frequency accident locations using associations rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenResearch ReportR2
2622002The Impact of Irrelevant Attributes on the Performance of Classifier Systems in Generating Activity SchedulesMOONS, Elke; WETS, Geert; AERTS, Marc; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
2632002The role of Occam's razor in activity based modelingMOONS, Elke; WETS, Geert; AERTS, Marc; VANHOOF, KoenProceedings PaperC1
2642002Stationary 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
2652002Identifying latently dissatisfied customers and measures for dissatisfaction managementBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal ContributionA1
2662001Use of Bayesian belief networks to help understand online audienceJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC2
2672001Web usage mining on proxy servers: a case studyKerkhofs, J.; VANHOOF, Koen; Pannemans, D.Proceedings PaperC2
2682001Clustering navigation patterns on a website using a sequence alignment methodHAY, Birgit; WETS, Geert; VANHOOF, KoenProceedings PaperC2
2692001Gaining insight into characteristics of online audiences with new approachesJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC2
2702001A position and page-sensitive sequence alignment method illustrated for visiting patterns within websitesHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA2
2712001Combining sequential patterns and association rules for use in e-shop designJARONSKI, Waldemar; VANHOOF, Koen; BRIJS, TomJournal ContributionA2
2722001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
2732001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
2742001How well perform very simple rules on activity diary data?MOONS, Elke; WETS, Geert; VANHOOF, Koen; AERTS, Marc; TIMMERMANS, HarryProceedings PaperC2
2752000Representation and discovery of fuzzy association rules (FARs)Chen, G.; WETS, Geert; VANHOOF, KoenResearch ReportR2
2762000Reducing redundancy in characteristic rule discovery by using integer programming techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
2772000Identifying decision structures underlying activity patterns: an exploration of data mining algorithmsWETS, Geert; VANHOOF, Koen; Arentze, T.; TIMMERMANS, HarryJournal ContributionA1
2782000Comparing complete and partial classification for identifying latently dissatisfied customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
2792000A 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
2802000A data mining framework for opitmal product selection in convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertConference MaterialC2