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A Framework for Web Log Analysis Using Process Mining Techniques  

Ahn, Yunha (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Oh, Kyuhyup (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Kim, Sang-Kuk (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Jung, Jae-Yoon (Department of Industrial and Management Systems Engineering, Kyung Hee University)
Publication Information
Journal of Information Technology and Architecture / v.11, no.1, 2014 , pp. 25-32 More about this Journal
Abstract
Web mining techniques are often used to discover useful patterns from data log generated by Web servers for the purpose of web usage analysis. Yet traditional Web mining techniques do not reflect sufficiently sequential properties of Web log data. To address such weakness, we introduce a framework for analyzing Web access log data by using process mining techniques. To illustrate the proposed framework, we show the analysis of Web access log in a campus information system based on the framework and discuss the implication of the analysis result.
Keywords
Web mining; Web log analysis; Process mining;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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