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

Author

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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)

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.

Suggested Citation

  • Zhuoxi Yu & YuJia Jin & Milan Parmar & Limin Wang, 2016. "Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 14(1), pages 64-75, January.
    • Handle: RePEc:igg:jeco00:v:14:y:2016:i:1:p:64-75
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