SWINNEN, Gilbert

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SWINNEN, Gilbert
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gilbert.swinnen@uhasselt.be
 
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Author:  BRIJS, Tom

Results 1-17 of 17 (Search time: 0.004 seconds).

Issue DateTitleContributor(s)TypeCat.
12007Loyalty cards: facts for fiction? - The usefulness of loyalty card data to forecast consumer decisions using a Poisson-Binomial hierarchical Bayes modelGÁZQUEZ ABAD, J.C.; SWINNEN, Gilbert; SÁNCHEZ-PÉREZ, M.; BRIJS, TomConference MaterialC2
22006¿Es útil para los minoristas la información que se puede extraer de las tarjetas de lealtad?: Un análisis empírico basado en un enfoque mixto Binomial-PoissonGázquez, A; Sánchez-Pérez, M; BRIJS, Tom; SWINNEN, GilbertProceedings PaperC1
32004A multivariate Poisson mixture model for marketing applicationsBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, Geert; Manchanda, P.Journal ContributionA1
42004Building an association rules framework to improve product assortment decisionsBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
52003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
62002Tuning the multivariate Poisson mixture model for clustering supermarket shoppersBRIJS, Tom; KARLIS, Dimitris; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertResearch ReportR2
72002Identifying latently dissatisfied customers and measures for dissatisfaction managementBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal ContributionA1
82001The use of characteristic rules for identifying latently dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings PaperC2
92001Using shopping baskets to cluster supermarket customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings PaperC2
102000Comparing complete and partial classification for identifying latently dissatisfied customersBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertJournal ContributionA1
112000A 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
122000A data mining framework for opitmal product selection in convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertConference MaterialC2
131999How to take into account the business value of association rulesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
141999Using association rules for product assortment decisions in automated convenience storesBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
151999The use of association rules for product assortment decisions: a case studyBRIJS, Tom; SWINNEN, Gilbert; VANHOOF, Koen; WETS, GeertProceedings Paper
161998Identifying latent dissatisfied customers using association rules in customer satisfaction studiesBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenProceedings Paper
171998Using association rules in customer satisfaction studies to identify latent dissatisfied customersBLOEMER, Johanna; BRIJS, Tom; SWINNEN, Gilbert; VANHOOF, KoenJournal Contribution