Analysis on the Influencing Factors of Graduate Employment Quality Based on Training Data Mining

This paper takes an electronic information university with obvious industry characteristics as an example, and conducts data mining research on the school's 2016-2018 electronic information graduate training data. This paper on the basis of literature reading and sorting, select whether to enter the world's top 500 and whether to work in an economically developed area as the graduate employment quality evaluation indicators, and use 12 indicators that may affect the quality of graduate employment for cross-statistical analysis. Finally, 8 variables including the number of articles published, weighted grades of degree courses, academic scholarships, and book readings are comprehensively determined for further data mining. The research results show that, in addition to the objective factor of gender, the weighted grades of degree courses and academic scholarships have a significant positive impact on the high-quality employment of graduate students during the training process.