21 March 2003 Rule-based statistical data mining agents for an e-commerce application
Author Affiliations +
Abstract
Intelligent data mining techniques have useful e-Business applications. Because an e-Commerce application is related to multiple domains such as statistical analysis, market competition, price comparison, profit improvement and personal preferences, this paper presents a hybrid knowledge-based e-Commerce system fusing intelligent techniques, statistical data mining, and personal information to enhance QoS (Quality of Service) of e-Commerce. A Web-based e-Commerce application software system, eDVD Web Shopping Center, is successfully implemented uisng Java servlets and an Oracle81 database server. Simulation results have shown that the hybrid intelligent e-Commerce system is able to make smart decisions for different customers.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Qin, Yi Qin, Yan-Qing Zhang, Yan-Qing Zhang, K. N. King, K. N. King, Rajshekhar Sunderraman, Rajshekhar Sunderraman, } "Rule-based statistical data mining agents for an e-commerce application", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.485703; https://doi.org/10.1117/12.485703
PROCEEDINGS
6 PAGES


SHARE
Back to Top