BRIJS, Tom

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BRIJS, Tom
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tom.brijs@uhasselt.be
 
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Publications

Results 561-580 of 602 (Search time: 0.006 seconds).

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Issue DateTitleContributor(s)TypeCat.
5612004A multivariate Poisson mixture model for marketing applicationsBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert; Manchanda, P.Journal ContributionA1
5622004Improving performance of multiagent rule-based model for activity pattern decisions with Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Arentze, Theo A.; TIMMERMANS, HarryJournal ContributionA1
5632004Identification and ranking of black spots - Sensitivity analysisGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
6042004Building an association rules framework to improve product assortment decisionsBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
6052004Variations in road accident counts: an explanatory time-series modelVAN DEN BOSSCHE, Filip; BRIJS, Tom; WETS, GeertProceedings PaperC2
6062004A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertConference MaterialC2
6072003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
6082003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6092003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
6102003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6112003Defining interestingness for association rulesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
6122003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
6132003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
6142003An indirect measurement for customer expectationVANHOOF, Koen; BRIJS, Tom; WETS, GeertBook SectionB3
6152003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; BRIJS, Tom; WETS, GeertResearch ReportR2
6162003Applying grammatical inference techniques to activity-diary dataJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
6172003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
6182003Profiling of high-frequency accident locations by use of association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
6192003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
6202003Creating synthetic diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
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