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
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;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5763935