Title :
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
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;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
DOI :
10.1109/ICMeCG.2014.17
