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 the 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 volume 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, interactive user interface and flexible evaluation scheme provides an effective approach to close the gap between the "real world" and the "cyber world" from business aspects.