Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28747
Title: A causal analysis for the expenditure data of business travelers
Authors: Law, R 
Li, G
Issue Date: 2007
Publisher: Springer-Verlag Berlin
Source: Advanced data mining and applications, proceedings, 2007, v. 4632, p. 545-552 How to cite?
Journal: Advanced Data Mining and Applications, Proceedings 
Abstract: Determining the causal relation among attributes in a domain is a key task in the data mining and knowledge discovery. In this paper, we applied a causal discovery algorithm to the business traveler expenditure survey data [1]. A general class of causal models is adopted in this paper to discover the causal relationship among continuous and discrete variables. All those factors which have direct effect on the expense pattern of travelers could be detected. Our discovery results reinforced some conclusions of the rough set analysis and found some new conclusions which might significantly improve the understanding of expenditure behaviors of the business traveler.
Description: 3rd International Conference on Advanced Data Mining and Applications, Harbin, Peoples R China, 6-8 August 2007
URI: http://hdl.handle.net/10397/28747
ISSN: 0302-9743
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