DocumentCode :
2305194
Title :
Clustering Based Compress Data Cube Algorithm
Author :
Xie, Zhijun ; Nie, Mingxing ; Wang, Tongsen
Author_Institution :
Dept. of Comput. & Inf., Fujian Univ. of Technol., Fuzhou, China
Volume :
4
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
429
Lastpage :
433
Abstract :
In this paper, we present a novel clustering based technique to build an approximate compressed data cube and using this compressed data cube to provide answers to queries directly. Results of experiments on the effectiveness of Compact Cube are presented, using both synthetic and real-world data. The results indicate that the proposed Compress Cube can efficiently reduce the cube size. Through comparing the algorithm with some other algorithms, we can conclude that the compact cube is more efficient than others.
Keywords :
data compression; pattern clustering; approximate compressed data cube; clustering based technique; compact cube; compress data cube algorithm; Aggregates; Clustering algorithms; Costs; Distribution functions; Frequency estimation; Probability density function; Relational databases; Software algorithms; Software engineering; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.330
Filename :
5319589
Link To Document :
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