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
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;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5565108
