Development of a Process-Driven Model for Extracting User Behavioral Pattern from Web Access Log Files

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© 2022 by IJCTT Journal
Volume-70 Issue-4
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

Abstract
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.

Keywords
User Experience, Process mining, Web mining, Website usability, User behaviour.

Reference

[1] International Organization for Standardization., Ergonomics of humansystem interaction — Part 11: Usability: Definitions and concepts (ISO 9241-11:2018). Retrieved from https://www.iso.org/standard/63500.html. (2018).
[2] Hartson, R., & Pyla, P., Background: Introduction. The UX Book, (2019)95–113. https://doi.org/10.1016/b978-0-12-805342-3.00006-0
[3] Lee, H., Ka-hyun Lee, K., & Choi, J., A Structural Model for Unity of Experience: Connecting User Experience, Customer Experience, and Brand Experience. Journal of Usability Studies, 14(1) (2018) 8–34. Retrieved from https://uxpajournal.org/wpcontent/uploads/sites/8/pdf/JUS_Lee_Nov2018.pdf
[4] Bitkina, O. V., Kim, H. K., & Park, J. (2020). Usability and user experience of medical devices: An overview of the current state, analysis methodologies, and future challenges. International Journal of Industrial Ergonomics, 76(November 2018) (2020) 102932. https://doi.org/10.1016/j.ergon.2020.102932
[5] Almeraj, Z., Boujarwah, F., Alhuwail, D., & Qadri, R., Evaluating the Accessibility Of Higher Education Institution Websites in the State of Kuwait: Empirical Evidence. Universal Access in the Information Society, 20(1) (2021) 121–138. Https://Doi.Org/10.1007/S10209-02000717-8
[6] Ramanayaka, K. H., Chen, X., & Shi, B., UNSCALE?: A Fuzzy-based Multi-criteria Usability Evaluation Framework for Measuring and Evaluating Library Websites UNSCALE?: A Fuzzy-based Multicriteria Usability Evaluation Framework for, 4602 (2018). https://doi.org/10.1080/02564602.2018.1498032
[7] Atta-ur-Rahman, Dash, S., Luhach, A. K., Chilamkurti, N., Baek, S., & Nam, Y., A Neuro-fuzzy approach for user behaviour classification and prediction. Journal of Cloud Computing, 8(1) (2019). https://doi.org/10.1186/s13677-019-0144-9
[8] Keshavarz, H., & Givi, M. E., Website Evaluation Frameworks: IS oriented vs. Business Oriented Models. 2020 6th International Conference on Web Research, ICWR, (2020) 223–228. https://doi.org/10.1109/ICWR49608.2020.9122316
[9] Augusto, A., Conforti, R., Armas-Cervantes, A., Dumas, M., & La Rosa, M., Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. IEEE Transactions on Knowledge and Data Engineering, 4347(c) (2020) 1–1. https://doi.org/10.1109/tkde.2020.3003258
[10] Eryk, L., Introduction to Process Mining. Learn the basics of process mining and… | by Eryk Lewinson | Towards Data Science. Retrieved November 28, (2020). From https://towardsdatascience.com/introduction-to-process-mining5f4ce985b7e5
[11] Ghasemi, M., & Amyot, D., A systematic literature review of goaloriented process mining from event logs to goals. Requirements Engineering, 25(1) (2020) 67–93. https://doi.org/10.1007/s00766-01800308-3
[12] Graafmans, T., Turetken, O., Poppelaars, H., & Fahland, D., Process Mining for Six Sigma. Business & Information Systems Engineering. (2020). https://doi.org/10.1007/s12599-020-00649-w
[13] Shevchenko, L., Analysis of library website users’ behavior to Optimize Virtual Information and Library Services. Journal of Information Science Theory and Practice, 8(1) (2020) 45–55. https://doi.org/10.1633/JISTaP.2020.8.1.4
[14] Anyaoku, E. N., & Akpojotor, L. O., Usability Evaluation of University Library Websites in South-South Nigeria. Library Philosophy and Practice, 2020(January) (2020) 1–26.
[15] Manzoor, M., Hussain, W., Sohaib, O., Hussain, F. K., & Alkhalaf, S., Methodological Investigation for Enhancing the Usability of University Websites. Journal of Ambient Intelligence And Humanized Computing, 10(2) (2019) 531–549. Https://Doi.Org/10.1007/S12652018-0686-6
[16] Haritha, S., Vismitha, P. S. R. I., Kavyanjali, S., & Shireen, S. ., Analysis of User`s Behavior I Structured E-Commerce Websites, 1(9) (2018) 206–211.
[17] Adedeji, F. ., Adekunle, Y. ., Adebayo, A. ., Alao, O. ., & Akande, O., A Systematic Review on Usability Evaluation for University Websites. International Journal of Computer Applications Technology and Research, 11(2) (2022) 22–28. https://doi.org/10.7753/ijcatr1102.1003
[18] Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Grp, P. ., Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (Reprinted from Annals of Internal Medicine). Physical Therapy, 89(9) (2009) 873–880. https://doi.org/10.1371/journal.pmed.1000097
[19] Nwasra, N., Basir, N., & Marhusin, M. F, Evaluation of Malaysian Universities Websites based on Quality in Use Evaluation Model, 8(4) (2018) 1417–1422.
[20] Park, J., Han, S. H., Kim, H. K., Cho, Y., & Park, W., Developing Elements of User Experience For Mobile Phones and Services: Survey, Interview, and Observation Approaches. Human Factors and Ergonomics In Manufacturing, 23(4) (2013) 279–293. Https://Doi.Org/10.1002/Hfm.20316
[21] Buijs, J. C. A., Flexible Evolutionary Algorithms for Mining Structured Process Models. 2014. Eindhoven. (2014) Https://Doi.Org/10.6100/IR780920
[22] Grigorova, K., Malysheva, E., & Bobrovskiy, S., Application of Data Mining and Process Mining Approaches for Improving E-Learning Processes. CEUR Workshop Proceedings, 1903 (2017) 115–121. https://doi.org/10.18287/1613-0073-2017-1903-115-121
[23] Bogarín, A., Cerezo, R., & Romero, C., A Survey on Educational Process Mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1) (2018a). https://doi.org/10.1002/widm.1230
[24] Van der Aalst, W., Process mining: Data science in action. Process Mining: Data Science in Action. (2016). https://doi.org/10.1007/9783-662-49851-4
[25] Deedam, F. B., Thomas, E., & Taylor, O. E., Accessibility and Usability Evaluation of State-Owned Universities Website in Nigeria. International Journal of Engineering Trends and Technology, 56(1) (2018) 31–36. https://doi.org/10.14445/22315381/ijett-v56p206