DocumentCode :
2709122
Title :
NCAC: A Novel Chinese Address Clustering Algorithm
Author :
Liu, Jian-Xun ; Wen, Yi-Ping ; Liu, Jie
Author_Institution :
Hunan Knowledge Grid Lab., Hunan Univ. of Sci. & Technol., Xiangtan, China
fYear :
2006
fDate :
1-3 Nov. 2006
Firstpage :
56
Lastpage :
56
Abstract :
This paper proposes a novel Chinese customer address clustering algorithm by considering both the customers´ postal code and the text clustering technique. Based on thousands of student hometown addresses in a university, an experiment is done and analyzed. The results show that the algorithm presents in this paper has the advantages of high effectiveness of computation and good clustering ability when comparing with the Standard K-means algorithm.
Keywords :
pattern clustering; text analysis; Chinese customer; NCAC; customers postal code; novel Chinese address clustering algorithm; standard k-means algorithm; text clustering technique;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7695-2673-X
Type :
conf
DOI :
10.1109/SKG.2006.65
Filename :
5727693
Link To Document :
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