Title :
Research on the Web Mining Framework Based on Mobile Agent and E-Commerce
Author :
Huang, Weijian ; Zhou, Xuqian ; Wang, Nianpeng
Author_Institution :
Hebei Univ. of Eng., Handan, China
Abstract :
In view of the shortage of e-commerce sites for data mining system, Web data mining system framework based on mobile agent is proposed in this paper. In advantage of the independency, mobility and intelligence of mobile agent, the search process and the recommendation of the entire commodity have a higher timeliness and accuracy. Businesses can apply the information to analyze and predict future behavior of customers which can help them provide targeted services to customers, reduce risk in decision-making and enhance competitiveness; Customers can apply information to access the understanding of businesses, purposefully select businesses and reduce non-target search time. The data mining system facing e-commerce will be able to discover the true valuable information and the knowledge construction from the massive numerous and diverse data and conforms to the competition tendency request of the modern Website which is more intense and complex.
Keywords :
Web sites; competitive intelligence; customer satisfaction; customer services; data mining; decision making; electronic commerce; mobile agents; risk management; Web data mining; Web site; competitiveness; customer satisfaction; customer service; decision making; e-commerce; knowledge construction; mobile agent; risk reduction; Application software; Computer networks; Costs; Data engineering; Data mining; Electronic commerce; Information analysis; Intelligent agent; Mobile agents; Web mining; E-Commerce; Mobile Agent; System Framework; Web Data Mining;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.404