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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/5027

Title: The role of Occam's razor in activity based modeling
Authors: MOONS, Elke
WETS, Geert
Issue Date: 2002
Citation: Computational Intelligent System for Applied Research: proceedings of the 5th International FLINS Conference, September 16-18 Gent. p. 153-162.
Series/Report: FLINS 2002
Abstract: This 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.
URI: http://hdl.handle.net/1942/5027
ISI #: 000186233300020
ISBN: 981-238-066-3
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2004
Appears in Collections: Research publications

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