BRIJS, Tom

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BRIJS, Tom
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tom.brijs@uhasselt.be
 
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Publications

Results 581-600 of 623 (Search time: 0.024 seconds).

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Issue DateTitleContributor(s)TypeCat.
5812004Identification and ranking of black spots - Sensitivity analysisGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
6022004Ranking and selecting dangerous accident locations: correcting for the number of passengers and Bayesian ranking plotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; KARLIS, Dimitris; VANHOOF, KoenResearch ReportR2
32004Building an association rules framework to improve product assortment decisionsBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
42004Improving 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
52004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
62004Using sequential probability distributions in the simulation of activity diary dataJANSSENS, Davy; BRIJS, Tom; VANHOOF, Koen; WETS, GeertConference MaterialC2
72004A multivariate Poisson mixture model for marketing applicationsBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert; Manchanda, P.Journal ContributionA1
82003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
92003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; BRIJS, Tom; WETS, GeertResearch ReportR2
102003Profiling of high-frequency accident locations by use of association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
312003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
322003An indirect measurement for customer expectationVANHOOF, Koen; BRIJS, Tom; WETS, GeertBook SectionB3
332003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
342003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
352003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
362003Defining interestingness for association rulesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
372003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
382003Applying grammatical inference techniques to activity-diary dataJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
392003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
402003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
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