Name
Title | ||
|---|---|---|
Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation |
Abstract | ||
|---|---|---|
AbstractIn 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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.4018/JECO.2016010106 | Periodicals |
Keywords | Field | DocType |
Classification,E-Commerce Sites,Evaluation,OPTICS Algorithm,PCA | OPTICS algorithm,Network economy,Data mining,Computer science,Artificial intelligence,Cluster analysis,Operational efficiency,Machine learning,E-commerce | Journal |
Volume | Issue | ISSN |
14 | 1 | 1539-2937 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhuoxi Yu | 1 | 0 | 1.69 |
| Yujia Jin | 2 | 0 | 0.34 |
| Milan Parmar | 3 | 1 | 1.71 |
| Limin Wang | 4 | 0 | 1.01 |