出版社：International Association for Computer Information Systems
摘要：E-Commerce has had a significant impact on merchandise transaction which allows people to transcend the barriers of time and distance and take advantage of global markets and business opportunities, opens up a new world of economic possibility and progress. However, e- Commerce brings opportunities as well as drastic competition. The desire to prevail in the market competition has generated an urgent need for new techniques and automated tools that can intelligently assist corporations in transforming the vast amounts of data collected from web-based e-Commerce sites into useful information and knowledge. In this paper, the authors describe the data mining process on web-based e-Commerce store and present a new predictive optimistic algorithm used to predict customers’ behaviors by data mining the information of customers. In this way, the competitive capacity and maximize the overall profits of a corporation can be effectively improved. In the end, the application of this algorithm on e- Commerce store is illustrated by a section of an example analysis.
关键词：Optimistic Algorithm; data mining; e-commerce store; Web-based; competitive;capacity
