Intelligent Pattern Discovery Using Web Data Mining
Vidyapati Jha, Chinnem Rama Mohan, T. Sampath Kumar, R J Anandhi, Bhimasen Moharana, P.N.V. Pavankumar · 2025
Finding trends in people's internet activity and subsequently customizing their experiences is the aim of web usage mining. In online usage mining, the functional information derived from the data was employed. It gathers information from web log records to comprehend how users interact with websites. There are several approachable research projects and helpful resources available for certain purposes. The soon-to-be-collected data can be used for customization, structure enhancement, website modification, and industrial intelligence and usage characterization. A technique known as “web usage mining” is used to collect information from real users about how they navigate websites. Web usage mining, also known as web log mining, aims to identify intriguing and frequently occurring user access patterns from web browsing data stored in web server logs, proxy server logs, or browser logs. Personalization, system improvements, corporate intelligence, advertising, and design enhancement are just a few of the numerous applications for web usage mining. The goal of this research is to find intelligent patterns in web usage mining.