Gender Discrimination-Aware Classification Model for Course Selection of Higher Studies using Real-World Data-Set

Abstract

The gender discrimination in the rural region of India for higher education context is still widely common in this modern era. Women are insufficiently represented in the academic system where gender discrimination is the major factors. This paper analyzes and maps the structure and evolution of the gender ratio and differences in higher education subject-wise course such as Mathematics, Biology, Arts, Commerce and Agriculture. This research investigates a gender discrimination-aware model for higher education in rural society of India. In this paper, the association rule classification model is proposed for effectively filtering out the discriminatory patterns to present predictive accuracy. The result of this paper presents psychological factor and thought for women weakness in the field of mechanical and heavy production engineering.