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

Publications

Results 540-599 of 599 (Search time: 0.006 seconds).

Issue DateTitleContributor(s)TypeCat.
5402005Using an adapted classification based on associations algorithm in an activity-based transportation systemJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenBook SectionB2
5412005Spatial and non-spatial covariates of telecommuting activities: a right truncated zero-inflated poisson regression modelBRIJS, Tom; VAN DER WAERDEN, Peter; TIMMERMANS, HarryProceedings PaperC2
32005Predicting road crashes using calendar dataVAN DEN BOSSCHE, Filip; WETS, Geert; BRIJS, TomResearch ReportR2
42005The role of exposure in the analysis of road accidents: a Belgian case-studyVAN DEN BOSSCHE, Filip; WETS, Geert; BRIJS, TomResearch ReportR2
52005Doortochten in VlaanderenVAN HOUT, Kurt; HERMANS, Elke; NUYTS, Erik; BRIJS, TomResearch ReportR2
62005Role of exposure in analysis of road accidents - A Belgian case studyVAN DEN BOSSCHE, Filip; WETS, Geert; BRIJS, TomJournal ContributionA1
72005The development of an adapted Markov chain modelling heuristic and simulation framework in the context of transportation researchJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
82005Adapting the CBA algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
92004Verkeersveiligheid en mobiliteit in LimburgZWERTS, Enid; GEURTS, Karolien; BRIJS, Tom; WETS, GeertBook SectionB2
102004A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertConference MaterialC2
112004Empirically validating an adapted classification based on associations algorithm on uci dataJANSSENS, Davy; Lan, Y.; WETS, Geert; Chen, G.; BRIJS, TomProceedings PaperC1
122004Evaluating 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
132004Simulating activity diary data by means of sequential probability information: development and evaluation of an initial frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
142004Approximating activity diary data by taking sequential dependencies into account: development of a simulation frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
152004Variations in road accident counts: an explanatory time-series modelVAN DEN BOSSCHE, Filip; BRIJS, Tom; WETS, GeertProceedings PaperC2
162004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
172004A regression model with ARIMA errors to investigate the frequency and severity of road traffic accidentsVAN DEN BOSSCHE, Filip; WETS, Geert; BRIJS, TomResearch ReportR2
182004Using sequential probability distributions in the simulation of activity diary dataJANSSENS, Davy; BRIJS, Tom; VANHOOF, Koen; WETS, GeertConference MaterialC2
192004A Bayesian model for ranking hazardous sitesBRIJS, Tom; VAN DEN BOSSCHE, Filip; WETS, Geert; KARLIS, DimitrisResearch ReportR2
202004Ranking 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
212004A multivariate Poisson mixture model for marketing applicationsBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert; Manchanda, P.Journal ContributionA1
222004Improving 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
232004Identification and ranking of black spots - Sensitivity analysisGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
242004Building an association rules framework to improve product assortment decisionsBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
252003Integrating classification and association rules by proposing adaptations to the CBA algorithmJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
262003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
272003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
282003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
292003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
302003Creating synthetic diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
312003Defining interestingness for association rulesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
322003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
332003A Bayesian model for ranking hazardous sitesBRIJS, Tom; KARLIS, Dimitris; VAN DEN BOSSCHE, Filip; WETS, GeertProceedings PaperC1
342003An indirect measurement for customer expectationVANHOOF, Koen; BRIJS, Tom; WETS, GeertBook SectionB3
352003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; BRIJS, Tom; WETS, GeertResearch ReportR2
362003Applying grammatical inference techniques to activity-diary dataJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
372003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
382003Profiling of high-frequency accident locations by use of association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
392003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
402002Evaluating the performance of cost-based discretization versus entropy- and error-based discretizationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
412002The use of rule-based knowledge discovery techniques to profile black spotsGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
422002Tuning the multivariate Poisson mixture model for clustering supermarket shoppersBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertResearch ReportR2
432002Retail market basket analysis: a quantitative modelling approachBRIJS, TomTheses and DissertationsT1
442002Profiling high frequency accident locations using associations rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenResearch ReportR2
452002Identifying latently dissatisfied customers and measures for dissatisfaction managementBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal ContributionA1
462001Combining sequential patterns and association rules for use in e-shop designJARONSKI, Waldemar; VANHOOF, Koen; BRIJS, TomJournal ContributionA2
472001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
482001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
492000Reducing redundancy in characteristic rule discovery by using integer programming techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
502000Comparing complete and partial classification for identifying latently dissatisfied customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
512000A 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
522000A data mining framework for opitmal product selection in convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertConference MaterialC2
531999How to take into account the business value of association rulesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
541999Using association rules for product assortment decisions in automated convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
551999The use of association rules for product assortment decisions: a case studyBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
561999Reducing redundancy in characteristic rule discovery by using IP-techniquesBRIJS, Tom; VANHOOF, Koen; WETS, GeertConference Material
571999Sysiphu-DigijobBRIJS, Tom; COENEN, FILIP; DESAEYERE, Willy; HERMANS, Ina; LINTEN, Liesbeth; LOMMELEN, Tinne; MUHL, Manuela; PANNEMANS, Sabine; PEETERS, Johan; RONDA, Tanja; VERCAUTEREN, AnneResearch Report
581998Cost-sensitive discretization of numeric attributesBRIJS, Tom; VANHOOF, KoenJournal Contribution
591998Identifying latent dissatisfied customers using association rules in customer satisfaction studiesBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings Paper
601998Using association rules in customer satisfaction studies to identify latent dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal Contribution