Mining tutors’ interesting areas to develop researched papers using a proposed educational data mining system

Abstract EN

Educational Data Mining (EDM) is the process of converting raw data from educational sy stems to useful information that can be use d by e ducational software developers, students, teachers, parents, and other e ducational researc hers.

One of the difficulties in the educational institutes that face the tutor is how to write a paper.

This work aims to help the tutor to write a researched pape r on specific subjec t by finding another tutor who is also inter ested in the same subject.

This is done by exploring the tutor database by using the proposed educ ational data mining sy stem, the tutor database is arranged in multidimensional form will include: tutor’s teaching subjects, tutor’s inte resting areas, tutor’s published rese arches, tutor’s Msc.

and Ph.D researc h subjects.

The proposed sy stem implements SMC and Cosine similarity measures with new proposed representation of tutor’s database.

A clustering K-Means te chniques and assoc iate d rule generation is implemented by using WEKA data mining tool.

The results obtained from that work are very useful for tutor and they give a ric h analy sis for developing researched papers for different tutors.