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Proceedings Paper

Rule-based statistical data mining agents for an e-commerce application
Author(s): Yi Qin; Yan-Qing Zhang; K. N. King; Rajshekhar Sunderraman
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Paper 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.

Paper Details

Date Published: 21 March 2003
PDF: 6 pages
Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); doi: 10.1117/12.485703
Show Author Affiliations
Yi Qin, Georgia State Univ. (United States)
Yan-Qing Zhang, Georgia State Univ. (United States)
K. N. King, Georgia State Univ. (United States)
Rajshekhar Sunderraman, Georgia State Univ. (United States)

Published in SPIE Proceedings Vol. 5098:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology V
Belur V. Dasarathy, Editor(s)

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