Recent years, the dataflow in higher education field was generally straightforward and the application of innovation was restricted. Therefore, advance into a more integrated world where innovation has turned into a vital part of the business forms.Higher education data mining is a particular data mining field connected to data starting from educational environment, it depends on distinctive ways to find hidden knowledge from the available data. Data miningapproach can be employed to solve various classification, regression, optimization and clustering problems. In this paper proposing a new data mining technique applied in quality function of higher education. This data mining knowledge is used to predict the understanding hidden pattern and uncover data in huge databases to suggest the way to improve the women entrepreneursdepends on higher education filed to improve the Women Entrepreneursquality of service. Characterize the relationship between higher education development indices and different stages of women entrepreneurial activity through a data mining prediction analysis. © Research India Publications.