Robust framework for recommending restructuring of websites by analysing web usage and web structure data. (30th August 2012)

• Record Type: Journal Article
• Authors: Nagi, Mohamad; Elhajj, Ahmad; Addam, Omar; Qabaja, Ala; Zarour, Omar; Jarada, Tamer; Gao, Shang; Jida, Jamal; Murshed, Ayman; Sleiman, Iyad; Özyer, Tansel; Ridley, Mick; Alhajj, Reda
• Is Part Of: International journal of business intelligence and data mining. Volume 7:Number 1/2(2012)
• Page Start: 4
• Page End: 20
• Publication Date: 2012-08-30
• Subjects: web usage mining -- web log -- web structure mining -- network analysis -- clustering -- frequent pattern mining; 006.312
• Languages: English
• ISSNs: 1743-8187

Abstract

The work described in this paper is motivated by the fact that the structure of a website may not satisfy a larger population of the visiting users who may jump between pages of the website before they land on the target page(s); this is at least partially true because access patterns were not known when the website was designed. We developed a robust framework that tackles this problem by considering both web log data and web structure data to suggest a more compact structure that could satisfy a larger user group. The study assumes the trend recorded so far in the web log reflects well the anticipated behaviour of the users in the future. We separately analyse web log and web structure data using three techniques, namely clustering, frequent pattern mining and network analysis. The final outcome from the two stages is reflected on to one of the six models, namely the network of pages to report linking pages by the most appropriate connections.