FACT-graph in web log data

Authors:
Ryosuke Saga;Takao Miyamoto;Hiroshi Tsuji;Kazunori Matsumoto
Affiliations:
Kanagawa Institute of Technology, Facuty of Information and Computer Science, Kanagawa, Japan;Osaka Prefecture University, Faculty of Liberal Arts and Sciences, Sakai, Japan;Osaka Prefecture University, Graduate School of Engineering, Sakai, Japan;Kanagawa Institute of Technology, Graduate School of Engineering, Kanagawa, Japan
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Year:
2011

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Abstract

This paper describes a visualization of web access log by FACTGraph. As the increase of large web sites with complex structure, web access logs have a clue to understand visitor activities and the improvement of site structure. For web access log analysis, statistical methods and web usage mining are used to recognize trend of pages and relationships between pages. However, these methods are independently applied, and there are no instances to visualize trends and relationships at the same time. In order to resolve them, we use FACT-Graph which shows the trend and relationships between terms for time-series text data. To apply FACT-Graph, we regard pages and sessions in web access log as terms and documents. In the experiment using 9 million access log at Osaka Prefecture University, we show the feature of access log from the global view by FACT-Graph.