Gender violence’s models and discrimination-aware data mining

The violence against women, bases in the inequity of opportunities in every social stratum. According to national surveys, women and girls are considered a vulnerable population due to the inequalities in access to essential services such as education, economic independence and technology. Currently, governments show interest to address this problem and provide parity of opportunities to contribute to the development of society. Therefore, several social studies analysed the situation of women and their impact on welfare indicators regarding the development of the population, in this context, some techniques propose solutions through Data Mining to measure and recognise possible discrimination and violence. The thesis work intends to develop data mining models to identified discrimination mainly towards women and girls, taking into account the environmental factors such as individual, community, social and institutions.