VANHOOF, Koen

Full Name
VANHOOF, Koen
Email
koen.vanhoof@uhasselt.be
 
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Publications

Results 181-200 of 256 (Search time: 0.007 seconds).

Issue DateTitleContributor(s)TypeCat.
1812004Applying Bayesian networks in practical customer satisfaction studiesJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen; WETS, GeertProceedings PaperC1
1822004A classification model for firm growth on the basis of ambitions, external potential and resources by means of decision tree inductionLIMERE, Arthur; LAVEREN, Eddy; VANHOOF, KoenResearch ReportR2
32004Simulating activity diary data by means of sequential probability information: development and evaluation of an initial frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
42004Approximating activity diary data by taking sequential dependencies into account: development of a simulation frameworkJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
52004The simulation of activity diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; TIMMERMANS, HarryProceedings PaperC2
62003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
72003Web Usage Mining by means of Multidimensional Sequence Alignment MethodsHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA1
82003An indirect measurement for customer expectationVANHOOF, Koen; BRIJS, Tom; WETS, GeertBook SectionB3
92003Adapting the CBA-Algorithm by means of intensity of implicationJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, Koen; Chen, G.Proceedings PaperC1
102003Integrating classification and association rules by proposing adaptations to the CBA algorithmJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
112003Creating synthetic diary data using sequential probability distributionsJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
122003Clustering and profiling traffic roads by means of accident dataGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
132003Defining interestingness for association rulesBRIJS, Tom; VANHOOF, Koen; WETS, GeertJournal ContributionA1
142003Profiling of high-frequency accident locations by use of association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenJournal ContributionA1
152003Comparing complete and partial classification for identifying customers at riskBLOEMER, Johanna; BRIJS, Tom; VANHOOF, Koen; SWINNEN, GilbertJournal ContributionA1
162003Applying grammatical inference techniques to activity-diary dataJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenConference MaterialC2
172003Identifying behavioral principles underlying activity patterns by means of Bayesian networksJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
182003Profiling high-frequency accident locations using association rulesGEURTS, Karolien; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC1
192003Integrating classification and association rules by proposing adaptations to CBAJANSSENS, Davy; WETS, Geert; BRIJS, Tom; VANHOOF, KoenProceedings PaperC2
202003Segmentation of visiting patterns on websites using a sequence alignment methodHAY, Birgit; WETS, Geert; VANHOOF, KoenJournal ContributionA1