Advancements in Page Access Frequency Analysis and Web Log Preprocessing using Web Usage Mining

MSRDG International Journal of Computer Scientific Technology & Electronics Engineering

 

© 2025 by MSRDG IJCSTEE Journal

Volume 1 Issue 1

Year of Publication: 2025



Authors: S. Raju, A. Ramu
Paper


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Article ID
MSRDG-IJCSTEE-V1I1P103
Abstract:

Web usage mining plays a critical role in understanding user behavior on websites by analyzing web log data. However, raw web log data is often noisy and unstructured, necessitating efficient preprocessing techniques. This paper explores the effectuation of web log preprocessing and its impact on page access frequency analysis. The research emphasizes the methodologies used in web log preprocessing, techniques for determining page access frequency, and their implications in various applications such as website optimization, cybersecurity, and personalized user experiences. Experimental results demonstrate the significance of preprocessing in enhancing the accuracy and efficiency of web usage mining.

Keywords: Web usage mining, Web log preprocessing, Page access frequency, Data cleaning, User behavior analysis