WETS, Geert

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WETS, Geert
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geert.wets@uhasselt.be
 
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Type:  Proceedings Paper
Internal UHasselt:  BRIJS, Tom

Results 121-140 of 141 (Search time: 0.039 seconds).

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Issue DateTitleContributor(s)TypeCat.
1212005Ranking and selecting dangerous accident locations: case studyGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
1222004Empirically validating an adapted classification based on associations algorithm on uci dataJANSSENS, Davy; Lan, Y.; WETS, Geert; Chen, G.; BRIJS, TomProceedings PaperC1
1232004Evaluating the use of Bayesian networks in a sequential rule-based model for activity scheduling behaviourJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
1242004Simulating activity diary data by means of sequential probability information: development and evaluation of an initial frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1252004Approximating activity diary data by taking sequential dependencies into account: development of a simulation frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1262004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
1272004Variations in road accident counts: an explanatory time-series modelVAN DEN BOSSCHE, Filip; BRIJS, Tom; WETS, GeertProceedings PaperC2
1282003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
1292003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1302003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
1312003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1322003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
1332003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
1342003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1352002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
1362002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
1372001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
1382000A 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
1391999How to take into account the business value of association rulesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
1401999Using association rules for product assortment decisions in automated convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
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