Analyzing Gender-Based Perceptions of Corruption and Equity Among Engineering Students: Insights From a Multidisciplinary Data Mining Approach

In this study, we explored the differing perceptions of equity and corruption values between women and men through data mining analysis. Utilizing an extensive database of surveys, we applied advanced data mining techniques to identify significant patterns and differences in the perception of these values across genders. The results were derived from a survey initially