DocumentCode
3094158
Title
The question about dimensional summarizability and its countermeasures
Author
Xiaopeng, Dai ; Haibo, Li
Author_Institution
Sch. of Inf. Sci. & Technol., Hunan Agric. Univ., Changsha, China
Volume
4
fYear
2011
fDate
11-13 March 2011
Firstpage
414
Lastpage
418
Abstract
In OLAP application, aggregation is the usual technique to improve the response speed of the users´ query. However, there have been few attempts to completely characterize the ability to summarize measures along some dimensions. Based on this situation, this paper gives some basic definitions about the dimension summarizability at first, and represents its taxonomy. Then describes the technique of judging the summarizability in detail, and finally, its countermeasures are introduced.
Keywords
data mining; data warehouses; OLAP application; aggregation; dimensional summarizability; Aggregates; Data mining; Information science; Knowledge based systems; Level set; Measurement; Semantics; OLAP; countermeasure; data warehouse; dimension constraints; dimension structure; summarizability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5763935
Filename
5763935
Link To Document