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