Advanced Server-Side Data Collection Methodology for Web Usage Mining: Eliminating Preprocessing Overhead and Enhancing Analytics Accuracy

Authors

  • Mohit Paul, Gaurav Pandey, Abdul Rub

Keywords:

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Abstract

This research introduces a novel server-side methodology for collecting web usage data that addresses thelimitations of traditional preprocessing-heavy techniques. Unlike conventional approaches that rely primarily onweb server access logs,

References

Jain, V., & Kashyap, K. (2021). An efficient algorithm for web log data preprocessing. In Machine Vision and Augmented Intelligence—Theory and Applications (pp. 505–514). Springer, Singapore. https://doi.org/10.1007/978-981-16-5078-9_41

Abdalla, A., Ahmed, T., & Seliaman, M. (2016). Web usage mining and the challenge of big data: A review of emerging tools and techniques. In I. R. M. Association (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (Vol. 6, Ch. 42, pp. 899–928). IGI Global. https://doi.org/10.4018/978-1-4666-9840-6.ch042

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Published

2024-08-20

How to Cite

Mohit Paul, Gaurav Pandey, Abdul Rub. (2024). Advanced Server-Side Data Collection Methodology for Web Usage Mining: Eliminating Preprocessing Overhead and Enhancing Analytics Accuracy . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6199–6211. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3665

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Articles