Visual data mining to discover knowledge patterns from Web navigational trends

Abstract

Discovering web navigational trends and understanding data mining results which is useful to web designers and web-based application builders. It is also desirable to interactively investigate web access data and patterns, Visualizing the usage data in the context of the web site structure is of major importance, as it puts web access requests and their connectivity in perspective. The visualization tool we used to represent the data mining functionalities to generate new patterns. Here we present our visual data mining system, WebViz, which allows interactive investigation of web usage data within their structure context, as well as ad-hoc knowledge, by using Webwiz pattern discovery on web navigational behaviour.