인공지능 기법의 혼합전략을 사용한 해운 B2B 전자상거래 웹 사이트에 대한 웹 마이닝

As B2B EC is boosted shipping lines and composite transportation companies have a great effort on increasing competitiveness through building e-business networks. Leading companies of maritime industry recognize Web sites as a important place of e-business and supports various contents and customer services via Web. However most of companies are not in the stage that they pursue enhanced customer services and management efficiency utilizing easily acquired Web data. In this study I propose Web mining process using data from one's Web site and one's internal databases. Web mining is an emerging science of applying modern data mining technologies to the problem of extracting valid, comprehensible, and actionable information from large databases of web in e-Business environment and of using it to make crucial e-Business decisions. In this paper, we present the noble framework of data visualization system based on web mining for analyzing the characteristics of on-line customers in e-Business. We also propose the framework of forecasting system for providing the forecasting information of sales/purchase through the use of web mining based on artificial intelligence techniques such as back-propagation network, memory-based reasoning, and self-organizing map.