Data Mining in Electronic Commerce

Data Mining for Electronic Commerce

Editorial: Data Mining in Electronic Commerce - Support vs. Confidence

In the year 2001, one of the authors of this editorial wrote an article about support versus confidence in the data mining technique, association rules. This article was presented at a conference and never formally published [22]. In the last four years this article has been downloaded nearly twenty-thousand times from an open access repository. This interest by researchers and practitioners ha...

Electronic Commerce Data Mining using Rough Set and Logistic Regression

Electronic commerce (E-commerce) has gradually been the mainstream of business. There may be some unpredictable but frequent problems such as delay in shipment, shipping errors caused by E-commerce participants’ low efficiency. There problems will have negative impact on the business of participants eventually. Correct evaluation of the efficiency of E-commerce is an important way to improve op...

Application of Data Mining in e-Commerce

The web in recent years has been a big trend, which helped make it a source of information and essential in the various fields of research, in particular, the commercial area that represents the e-commerce (electronic commerce). However, the competition in the e-commerce sites is very tight. This has pushed companies to conserve and retain customers rather than seeking to expand its market shar...

Data mining in e-commerce: A survey

Data mining has matured as a field of basic and applied research in computer science in general and e-commerce in particular. In this paper, we survey some of the recent approaches and architectures where data mining has been applied in the fields of e-commerce and e-business. Our intent is not to survey the plethora of algorithms in data mining; instead, our current focus being e-commerce, we ...