Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation

Zhuoxi Yu, YuJia Jin, Milan Parmar and Limin Wang
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Zhuoxi Yu: School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China
YuJia Jin: School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China
Milan Parmar: Hunan University of Arts and Science, Changde, China
Limin Wang: School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun, China

Journal of Electronic Commerce in Organizations (JECO), 2016, vol. 14, issue 1, 64-75

Abstract: In the era of the development in network economy, e-commerce sites' operational efficiency is in relation to the development of enterprises. Thus, how to evaluate e-commerce sites have become a hot topic. Due to the evaluation index of e-commerce sites have the characteristics of high dimension and data inhomogeneity, the new method combines PCA with the improved OPTICS algorithm to classify and evaluate the e-commerce demonstration enterprise websites. Firstly, using PCA to reduce the dimension of high-dimensional data. Secondly, for the limitation of OPTICS algorithm in dealing with sparse points, then using the improved OPTICS algorithm in clustering low-dimensional data to evaluate the effect of e-commerce sites and make suggestions.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jeco00:v:14:y:2016:i:1:p:64-75

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