Is Alcohol Affect Higher Education Students Performance: Searching and Predicting Pattern Using Data Mining Algorithms
International Journal of Innovations & Advancement in Computer Science IJIACS ISSN 2347 – 8616 Volume 6, Issue 4 April 2017
10 Pages Posted: 23 Jun 2017 Last revised: 1 Jul 2017
Date Written: June 22, 2017
Chronic heavy drinking and alcoholism can have serious repercussions for the learning, and memory. Excessive drinking among college students is associated with a variety of negative consequences that include alcohol poisoning; fatal and nonfatal injuries; blackouts; violence, academic failure; including sexually transmitted diseases, rape and assault; unintended pregnancy; property damage; including HIV/AIDS; criminal consequences and vocational that could jeopardize future job prospects. The present research intends to the student achievement in Higher Education using Data Mining techniques. This real-world data was collected by using performance reports and questionnaires which was collected and analyzed by MCA department, VBS Purvanchal University, India. In this experimental dataset used data set about MCA student on their courses which holds 450 instances. Four Decisions Tree algorithms (BFTree, J48, RepTree and Simple Cart) are applied in this work. The results showed that BFTree algorithm mostly proper to classify and predict student’s whose performance is excellent and who’s poor during studying the subjects.
Keywords: Data Mining, Questionnaires, BFTree, Drinking and Alcoholism, Chronic.
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