期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3365-3370
出版社：TechScience Publications
摘要：large amount of data gets collected as a result of processes like admissions, lectures and examinations in educational institutions like colleges. This data is used only for operational purposes and its potential for providing vital insights into the trends and prevailing conditions remains largely unutilized. Also, its usage for forecasting future in terms of academics remains largely unexplored. The advantages of mining this crucial information can prove very beneficial for an institution like a college. In this paper, we propose a system for an engineering college, customized for its needs and designed as per its features, which would help the administration gain qualitative knowledge from the quantitative data accumulated. The proposed system has three major modules: student performance analysis, student performance prediction and teaching quality evaluation. The system will have input as the student and teacher database from the college and analyze the students and teachers using the concepts of classification, genetic algorithms based neural networks for mining, optimizing and training respectively
