DocumentCode :
1801399
Title :
Clustering Weighted Slope One for distributed parallel computing
Author :
Chen, Xing ; Hongfa, Wang
Author_Institution :
Dept. of Comput. Inf. & Eng., Zhejiang Water Conservancy & Hydropower Coll., Hangzhou, China
Volume :
3
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
1595
Lastpage :
1598
Abstract :
Slope One is a simple and widely used collective filter algorithm, it is easy to implemented and works effectively. After Slope One being published, some optimized Slope One algorithms were proposed for improving its accuracy, however these optimized algorithms still overlook some essential drawbacks of Slope One: oversize calculating set. This paper proposes an optimized Slope One which adapts clustering concept to conventional Slope One.
Keywords :
parallel programming; pattern clustering; Slope One algorithms; clustering weighted slope; collective filter algorithm; distributed parallel computing; Accuracy; Hadoop; Slope One; clustering; distributed computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182270
Filename :
6182270
Link To Document :
بازگشت