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Abstract
Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in. Academic Performance of students is of paramount priority for all educational institutions and to learners as well and largely depends on social, personal factors of students and also on the environment in which they learn. Understanding factors which impact students’ learning enables us to predict learners’ performance.