DocumentCode :
2199365
Title :
The Algorithm of Reducing Data Cube Size Rapidly
Author :
Zhijun Xie ; Jin Guang
Author_Institution :
Sch. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Efforts have been devoted to address the problem of how to reduce the size of a data cube through exploiting the relation of the cube tuples recently. In this paper, we present a novel technique to reduce data cube size by dividing the cube into chunk and using this reduced data cube to provide answers to queries directly. The experiments use both synthetic and real-world data. The results indicate that the technique can efficiently reduce the cube size. Through comparing the algorithm with some other algorithms, we can conclude that the technique of reducing size of cube is more efficient than others.
Keywords :
data mining; data warehouses; OLAP; cube tuples; data cube size reduction algorithm; data warehouse; Aggregates; Costs; Data engineering; Distribution functions; Frequency; Information science; Probability density function; Relational databases; Remuneration; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5305729
Filename :
5305729
Link To Document :
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