A causal analysis for the expenditure data of business travelers

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

Citation counts:	Cited 1 times in Scopus
Access Statistics:	443 Abstract Views, 0 File Downloads - Detailed Statistics
Created:	Mon, 29 Sep 2008, 08:49:00 EST

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