DocumentCode
1959448
Title
Imprecise information in multidimensional data analysis
Author
Lu, Chang-Hui ; Hou, Dong-Fen ; Liu, Xu-Chong ; Liu, Qing-Bao ; Deng, Su
Author_Institution
Key Lab. of Sci. & Technol. for Nat. Defense of C4ISR Technol., Nat. Univ. of Defense Technol., Changsha, China
Volume
7
fYear
2010
fDate
9-11 July 2010
Firstpage
436
Lastpage
439
Abstract
In multidimensional data analysis, the facts have different granularities, the membership relation of dimension levels are partially contained, such factors will affect the results´ veracity and validity. This paper describes the imprecise information caused by the above factors, espectially analyses the impact on group and aggregate operaters, and gives pessimism, optimism and compromise three different approaches to handle with these imprecise information.
Keywords
data analysis; imprecise information; multidimensional data analysis; optimism; pessimism; aggregate; group; imprecise information; multidimensional data analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5565108
Filename
5565108
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