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

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

Zhuoxi Yu, YuJia Jin, Milan Parmar, Limin Wang
Copyright: © 2016 |Volume: 14 |Issue: 1 |Pages: 12
ISSN: 1539-2937|EISSN: 1539-2929|EISBN13: 9781466688940|DOI: 10.4018/JECO.2016010106
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MLA

Yu, Zhuoxi, et al. "Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation." JECO vol.14, no.1 2016: pp.64-75. http://doi.org/10.4018/JECO.2016010106

APA

Yu, Z., Jin, Y., Parmar, M., & Wang, L. (2016). Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation. Journal of Electronic Commerce in Organizations (JECO), 14(1), 64-75. http://doi.org/10.4018/JECO.2016010106

Chicago

Yu, Zhuoxi, et al. "Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation," Journal of Electronic Commerce in Organizations (JECO) 14, no.1: 64-75. http://doi.org/10.4018/JECO.2016010106

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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.

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