A Student Advising System Using Association Rule Mining

Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns among course registration. Finding associations among courses can guide and direct students in selecting the appropriate courses that leads to performance improvement. In this paper, the authors propose to use association rule mining to help both students and advisors in selecting and prioritizing courses. Association rules find dependences among courses that help students in selecting courses based on their performance in previous courses. The association rule mining is conducted on thousands of student records to find associations between courses that have been registered by students in many previous semesters. The system has successfully generated a list of association rules that guide a particular student to select courses. The system was validated on the registration of 100 students, and the precision and recall showed acceptable prediction of courses

A New Parameter for Maintaining Consistency in an Agent's Knowledge Base Using Truth Maintenance System

Abstract: In this paper we present a new and a novel way for maintaining the consistency in an agent's knowledge base relying on the notion of Truth Maintenance Systems. In our work, we present a new parameter which helps in determining which propositions or assertions to retract if a contradiction happens. Our new correctness parameter will be very easy to compute, at the same time, it is very effective. When we consider the knowledge base properties of an agent, we could have in mind completeness, efficiency, consistency, and many other properties [1]. Herein, we will limit our attention to consistency. In this paper, we will concentrate on maintaining the consistency within an agent knowledge base. Particularly, we will address loca