Abstract: In order to further encourage a large number of women to start businesses and find jobs, enable them to more equally participate in economic and social development and enjoy the fruits of reform and development, and provide relevant departments with comprehensive and accurate scientific basis and decision-making support. Through to the domestic typical women successful entrepreneurship data capture, storage, extraction, processing, analysis, integration, mining, summarizes the factors necessary for successful business women, accidental opportunity and risk points, for women entrepreneurs create evaluation model, and combining with data mining venture evaluation model for women to make feedback and correction. Through the reconstruction of the evaluation model of women's successful entrepreneurship, this paper evaluates and optimizes the guidance for women when they encounter difficulties in the entrepreneurial process. Conclusion the research results show that the successful start-up law and failure model can be effectively distinguished, so as to make full use of the value of women's successful start-up data and improve their decision-making ability. Effective and timely emergency guidance can be implemented when women encounter setbacks in the entrepreneurial process, and corresponding guidance programs can be implemented.

Key words: Women's entrepreneurship, Data mining, Situation assessment