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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182270