Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/5027
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dc.contributor.authorMOONS, Elke-
dc.contributor.authorWETS, Geert-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorVANHOOF, Koen-
dc.date.accessioned2007-12-20T15:54:54Z-
dc.date.available2007-12-20T15:54:54Z-
dc.date.issued2002-
dc.identifier.citationComputational Intelligent System for Applied Research: proceedings of the 5th International FLINS Conference, September 16-18 Gent. p. 153-162.-
dc.identifier.isbn981-238-066-3-
dc.identifier.urihttp://hdl.handle.net/1942/5027-
dc.description.abstractThis paper reports the results of a study conducted to assess the impact of the number of attibutes on the accuracy of tree induction algorithm and to find a good criterion to select the final model. To that effect, activity-travel diary data collected in the Netherlands are used for analysis. The results indicate that significantly smaller trees can be derived with a maximum loss of 2% in accuracy. Transport variables appear to be the most discriminating attributes in order to determine the transport mode chosen for work-related trips. For non-work tours, household characteristics are most important for this purpose.-
dc.language.isoen-
dc.relation.ispartofseriesFLINS 2002-
dc.titleThe role of Occam's razor in activity based modeling-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateSEP 16-18, 2002-
local.bibliographicCitation.conferencename5th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science-
local.bibliographicCitation.conferenceplaceGhent, Belgium-
dc.identifier.epage162-
dc.identifier.spage153-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC1-
dc.identifier.isi000186233300020-
local.bibliographicCitation.btitleComputational Intelligent System for Applied Research: proceedings of the 5th International FLINS Conference, September 16-18 Gent-
item.fulltextNo Fulltext-
item.fullcitationMOONS, Elke; WETS, Geert; AERTS, Marc & VANHOOF, Koen (2002) The role of Occam's razor in activity based modeling. In: Computational Intelligent System for Applied Research: proceedings of the 5th International FLINS Conference, September 16-18 Gent. p. 153-162..-
item.contributorMOONS, Elke-
item.contributorWETS, Geert-
item.contributorAERTS, Marc-
item.contributorVANHOOF, Koen-
item.accessRightsClosed Access-
item.validationecoom 2004-
Appears in Collections:Research publications
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