BRIJS, Tom

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BRIJS, Tom
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tom.brijs@uhasselt.be
 
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Publications

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Author:  BRIJS, Tom
Date Issued:  [2000 TO 2009]
Type:  Proceedings Paper

Results 41-58 of 58 (Search time: 0.004 seconds).

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Issue DateTitleContributor(s)TypeCat.
412004Empirically validating an adapted classification based on associations algorithm on uci dataJANSSENS, Davy; Lan, Y.; WETS, Geert; Chen, G.; BRIJS, TomProceedings PaperC1
422004Evaluating 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
432004Simulating activity diary data by means of sequential probability information: development and evaluation of an initial frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
442004Approximating activity diary data by taking sequential dependencies into account: development of a simulation frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
452004Variations in road accident counts: an explanatory time-series modelVAN DEN BOSSCHE, Filip; BRIJS, Tom; WETS, GeertProceedings PaperC2
462004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
472003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
482003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
492003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
502003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
512003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
522003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
532003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
542002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
552002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
562001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
572001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
582000A 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
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