Data Mining Techniques for Web Usage Mining
Navdeep Kumar Chopra, Chinnem Rama Mohan, Snehal Dipak Chaudhary, Manisha M. Kasar, Trupti Suryawanshi, Shikha Dubey · 2025
Web use mining is the application of data mining and computational methods to analyze and understand web server logs, which provide insights on how individuals utilize the internet. The crucial data requirements of the computational methods are fulfilled by obtaining and converting web server logs. Computational algorithms aid in constructing learning models that enhance the online environment by efficiently detecting interesting patterns. The primary areas of emphasis in web research are web cache optimization and online customization. This research aims to optimize web caching and enhance web personalization by analyzing significant online trends, including user groups and categories that engage with interesting content at a later time. Improved web cache design may be achieved by using predictive algorithms that anticipate the categories of interesting pages that will be browsed next. Data about user interests obtained via the creation of groups may be used to customize the online experience for individual visitors. This paper extensively explores the subject of online content mining and web usage mining. In this chapter, we introduce decision tree techniques for web usage mining.