Application of E-Commerce Sites Evaluation Based on Factor Analysis and Improved DBSCAN Algorithm

Author

Yumian Yang ; Jianhua Jiang ; Huan Wang

Author_Institution

Sch. of Manage. Sci. & Inf. Eng., Jilin Univ. of Finance & Econ., Changchun, China

fYear

2014

Firstpage

33

Lastpage

38

Abstract

With the rapid development of E-commerce, how to evaluate the E-commerce sites accurately has become an important issue. However, evaluation index of E-commerce sites has characteristics of high dimensions and uneven density, which leads to bad performance of the evaluation result. To analyze 100 E-commerce demonstration enterprises in 2013-2014 named by the Ministry of Commerce People´s Republic of China, this paper reduces dimensionality by factor analysis method firstly, then implements an improved DBSCAN algorithm to process the uneven density data, lastly gives suggestions to these 100 E-commerce enterprises based on experiment results.

Keywords

Web sites; electronic commerce; Ministry of Commerce People Republic of China; e-commerce demonstration enterprises; e-commerce site evaluation index; factor analysis; improved DBSCAN algorithm; Algorithm design and analysis; Business; Classification algorithms; Clustering algorithms; Educational institutions; Indexes; Joining processes; Cluster analysis; DBSCAN; E-commerce sites; Factor analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on

Type

conf

DOI

10.1109/ICMeCG.2014.17

Filename

7046886