Full Name
BRIJS, Tom
Email
tom.brijs@uhasselt.be
 
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Publications

Results 577-599 of 599 (Search time: 0.024 seconds).

Issue DateTitleContributor(s)TypeCat.
5772003Profiling of high-frequency accident locations by use of association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
5782003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
5792002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
5802002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
5812002Tuning the multivariate Poisson mixture model for clustering supermarket shoppersBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertResearch ReportR2
5822002Retail market basket analysis: a quantitative modelling approachBRIJS, TomTheses and DissertationsT1
5832002Profiling high frequency accident locations using associations rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenResearch ReportR2
5842002Identifying latently dissatisfied customers and measures for dissatisfaction managementBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal ContributionA1
5852001Combining sequential patterns and association rules for use in e-shop designJARONSKI, Waldemar; VANHOOF, Koen; BRIJS, TomJournal ContributionA2
5862001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
5872001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
5882000Reducing redundancy in characteristic rule discovery by using integer programming techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
5892000Comparing complete and partial classification for identifying latently dissatisfied customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
5902000A 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
5912000A data mining framework for opitmal product selection in convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertConference MaterialC2
5921999How to take into account the business value of association rulesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
5931999Using association rules for product assortment decisions in automated convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
5941999The use of association rules for product assortment decisions: a case studyBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
5951999Reducing redundancy in characteristic rule discovery by using IP-techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertConference Material
5961999Sysiphu-DigijobBRIJS, Tom; COENEN, FILIP; DESAEYERE, Willy; HERMANS, Ina; LINTEN, Liesbeth; LOMMELEN, Tinne; MUHL, Manuela; PANNEMANS, Sabine; PEETERS, Johan; RONDA, Tanja; VERCAUTEREN, AnneResearch Report
5971998Cost-sensitive discretization of numeric attributesBRIJS, Tom; VANHOOF, KoenJournal Contribution
5981998Identifying latent dissatisfied customers using association rules in customer satisfaction studiesBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings Paper
5991998Using association rules in customer satisfaction studies to identify latent dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal Contribution