On agent based visual data mining for intelligent Web browsing with e-commerce applications

This paper presents a new visualization approach to provide intelligent Web browsing support for electronic commerce (e-commerce) using data warehousing and data mining techniques. To overcome the limitations of current Web browsers which lack flexibility for customers to visualize products from different perspectives, a new visual data model which extends the conventional data warehouse schema is introduced to deal with intensive data volumes and complex transformations with a high degree of flexibility in terms of multi-perspective visualizations and morphing capacity in an interactive environment. The integration of dynamic object visualization, an interactive user interface and a flexible evaluation scheme provides an effective approach to close the gap between the "real world" and the "cyber world" from the business point of view.