BRIJS, Tom

Email Alert RSS Feed

Profile

Full Name
BRIJS, Tom
Email
tom.brijs@uhasselt.be
 
Loading... 5 0 5 0 false
Loading... 6 0 5 0 false

Publications

Results 601-620 of 631 (Search time: 0.023 seconds).

show all
Issue DateTitleContributor(s)TypeCat.
6012003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6022003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
6032003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; BRIJS, Tom; WETS, GeertResearch ReportR2
6042003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6052003An indirect measurement for customer expectationVANHOOF, Koen; BRIJS, Tom; WETS, GeertBook SectionB3
6062003Applying grammatical inference techniques to activity-diary dataJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
6072003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
6082003Creating synthetic diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
6092003Integrating classification and association rules by proposing adaptations to the CBA algorithmJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
6102003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
6112002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
6122002Profiling high frequency accident locations using associations rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenResearch ReportR2
6132002Tuning the multivariate Poisson mixture model for clustering supermarket shoppersBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertResearch ReportR2
6142002Identifying latently dissatisfied customers and measures for dissatisfaction managementBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal ContributionA1
6152002Retail market basket analysis: a quantitative modelling approachBRIJS, TomTheses and DissertationsT1
6162002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6172001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
6182001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
6192001Combining sequential patterns and association rules for use in e-shop designJARONSKI, Waldemar; VANHOOF, Koen; BRIJS, TomJournal ContributionA2
6202000A 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
show all