Rule-based statistical data mining agents for an e-commerce application

Yi Qin; Yan-Qing Zhang; K. N. King; Rajshekhar Sunderraman

doi:10.1117/12.485703

21 March 2003 Rule-based statistical data mining agents for an e-commerce application

Yi Qin, Yan-Qing Zhang, K. N. King, Rajshekhar Sunderraman

Proceedings Volume 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V; (2003) https://doi.org/10.1117/12.485703
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Yi Qin, Yan-Qing Zhang, K. N. King, and 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); https://doi.org/10.1117/12.485703

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