The Application of Web Data Mining in the Electronic Commerce

2012 ◽  
Author(s):  
Weigang Zuo ◽  
Qingyi Hua
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Web Data ◽  
Web Data Mining

Research on the Mechanism of Web Data Mining in Electronic Commerce Application

2014 ◽  
Vol 687-691 ◽  
pp. 3003-3006
Author(s):  
Pu Wang
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Recommender Systems ◽  
Social Process ◽  
The Internet ◽  
Web Data ◽  
Process Data ◽  
Web Data Mining ◽  
Amount Of Information ◽  
The Web

At present, the growth of the Internet has brought us a vast amount of information that we can hardly deal with. To solve the flood of information, various data mining systems have been created to assist and augment this natural social process. Data minig recommender systems have been developed to automate the recommendation process. Data mining recommender systems can be found at many electronic commerce applications. In this paper, a recommendation mechanism of web data mining in electronic commerce application is given. Then, presents the workflow of the web data mining in electronic commcer. Lastly, the usage of the tools of web data mining is described.

The Study and Application of E-Business Website Based on the Web Data Mining

2013 ◽  
Vol 846-847 ◽  
pp. 1431-1434
Author(s):  
Yi Ni Wang
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Web Data ◽  
Web Data Mining ◽  
Mining System ◽  
Data Mining System ◽  
The Web

Taking data mining technologies as the key, with the analysis of electronic commerce, this paper studies deeply on the implementation of data mining system that is electronic commerce-oriented.

Research on Tourism E-Commerce Based on Web Data Mining Technology

2014 ◽  
Vol 543-547 ◽  
pp. 3663-3666 ◽  
Author(s):  
Wei Yan
Keyword(s):  
Data Mining ◽  
Electronic Commerce ◽  
Tourism Industry ◽  
Dynamic Adjustment ◽  
Web Data ◽  
Web Data Mining ◽  
Mining Technology ◽  
Site Design ◽  
Tourism Information ◽  
Tourism Enterprises

E-commerce is an inevitable trend of the development of tourism industry according to the characteristics of the development of tourism electronic commerce, using Web data mining technology, the tourists, and tourism core product classification to develop personalized tourism electronic commerce services, identify potential customers, develop dynamic adjustment of tourism products, and improve the tourism electronic commerce web site design and the tourism information retrieval speed.[ It can provide the tourism electronic commerce website for tourism enterprise construction planning, strategic planning, website maintenance and web marketing to provide the reference for the construction of network brand. Analysis of the data mining technology and Web records the process of mining, mining and recommendation engine using Web records help the tourism electronic commerce personalized tourism network. Meanwhile, the usages of e-commence can recommend travel plans for travelers and improve the reservation rate of network of tourism. Tourism enterprises also can make more profit

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