Title :
Visual data mining to discover knowledge patterns from Web navigational trends
Author :
Neelima, N. ; Shazmeen, Syeda Farha
Author_Institution :
Dept. of Inf. Technol., Balaji Inst. of Technol. & Sci., Warangal, India
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.
Keywords :
Internet; Web design; data mining; data visualisation; information retrieval; Web data access; Web designer; Web navigational trends; Web site structure; Web usage data; Web-based application builder; WebViz; Webwiz pattern discovery; ad-hoc knowledge; knowledge pattern discovery; pattern generation; visual data mining; visualization tool; Data visualization; Knowledge engineering; Layout; Navigation; Visualization; Web mining; Visual Data Mining; WebVisualization; knowledge pattern;
Conference_Titel :
Recent Trends in Information Systems (ReTIS), 2011 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4577-0790-2
DOI :
10.1109/ReTIS.2011.6146851