A causal analysis for the expenditure data of business travelers

Law, Rob and Li, Gang 2007, A causal analysis for the expenditure data of business travelers, Lecture notes in computer science, vol. LNAI 4632, pp. 545-552.

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Title A causal analysis for the expenditure data of business travelers
Author(s) Law, Rob
Li, Gang
Journal name Lecture notes in computer science
Volume number LNAI 4632
Start page 545
End page 552
Publisher Springer
Place of publication Germany
Publication date 2007
ISSN 0302-9743
Summary 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.
Language eng
Field of Research 080309 Software Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2007, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007162

Document type: Journal Article
Collection: School of Engineering and Information Technology
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