Development of a Process-Driven Model for Extracting User Behavioral Pattern from Web Access Log Files
|© 2022 by IJCTT Journal|
|Year of Publication : 2022|
|Authors : Folasade Adedeji, Adebowale Adekunle, Adewale Adebayo, Olujimi Alao|
|DOI : 10.14445/22312803/IJCTT-V70I4P101|
How to Cite?
Folasade Adedeji, Adebowale Adekunle, Adewale Adebayo, Olujimi Alao, "Development of a Process-Driven Model for Extracting User Behavioral Pattern from Web Access Log Files," International Journal of Computer Trends and Technology, vol. 70, no. 4, pp. 1-12, 2022. Crossref, https://doi.org/10.14445/22312803/IJCTT-V70I4P101
Investigating user behaviour with a focus on the process by which users achieve their aims has the potential of discovering additional insight about their actions, improving the process advertently improves their use of the website. This study aims to develop a Process-Driven model that extracts the information contained within web server logs to identify the patterns hidden in user behaviour to improve website usability. Data for this study was collected from the ICT unit in southwest Nigeria. The data contained 879475 records of web server logs of users. The data was preprocessed, cleaned, and transformed from a spreadsheet format into an event data format (.xes). Process mining was applied to the dataset using five (5) algorithms, following which their performances were compared based on simplicity, fitness, precision, and generalization. The results showed that the most optimized process model was developed using an Inductive miner. A Petri net model was used to define the users` navigational behaviour on the website. The study concluded that information extracted from these patterns could improve website design, thus impacting website usability.
User Experience, Process mining, Web mining, Website usability, User behaviour.
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