Analysis of girls vocational high school students? academic failure causes with data mining techniques

Nowadays attaining academic success is more difficult compared to previous years. Because today, individuals, especially the ones in their puberty periods, get affected more from their families, environment they live in and study, teachers' attitudes and similar factors, resulting in academic failure.In this thesis work factors that affect failure of students are studied and a survey is performed to determine these factors. Since the collected data formed a large database, data mining technique is used to establish the correlations and rules easily. In evaluation of the survey clustering method is selected among possible data mining methods by considering the content of the data and the subject of the study. Collected data is separated into three clusters. Each cluster is investigated to determine the factors that play a role together in students' failure, as well as the the relations between them.