A Web Mining Approach for Evaluation of Quality Assurance at University of Science and Technology

In today's digital landscape, there is an abundance of websites containing vast amounts of information. However, the challenge lies in extracting valuable knowledge from this sea of data. Knowledge serves as the foundation for making informed decisions, making it essential to develop efficient mining approaches. This research aims to address this problem by proposing a novel framework. The framework will focus on analyzing diverse datasets, particularly those related to educational, administrative, and student activities at the University of Science and Technology. Through an in-depth analysis of this data, the quality of services provided by the university will be evaluated. The ultimate goal is to make optimal decisions that will enhance the university's overall performance. This includes selecting the best teaching staff and improving various other services to ensure a higher level of efficiency and effectiveness.