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

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...

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Bibliographic Details
Published inJournal of electronic commerce in organizations Vol. 14; no. 1; pp. 64 - 75
Main Authors Yu, Zhuoxi, Jin, YuJia, Parmar, Milan, Wang, Limin
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.01.2016
Subjects
Algorithms
Clustering
Electronic commerce
Geospatial data
Inhomogeneity
Trade
China
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ISSN1539-2937
1539-2929
DOI10.4018/JECO.2016010106

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Summary: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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content type line 14
ISSN:1539-2937
1539-2929
DOI:10.4018/JECO.2016010106