Analyzing students records to identify patterns of students' performance

• Main Authors: Hoe A.C.K., Ahmad M.S., Hooi T.C., Shanmugam M., Gunasekaran S.S., Cob Z.C., Ramasamy A.
• Other Authors: 56105282800
• Format: Conference Paper
• Published: 2023
• Subjects: CRISP-DM; data mining; data modeling clustering; data preparation; Data mining; Information systems; Population statistics; Academic performance; Business understanding; Data preparation; Higher education institutions; Significant variables; Student's performance; Undergraduate students; Students

Academic failures among university students have been the subject of interest in higher education community. Students drop out due to poor academic performance as early as in the first year of their university enrolment. Many interested parties' debate and try to find reasons for this poor perf...