Evaluation and Design of Employment Decision Analysis System Based on Artificial Intelligence

Data mining technology based on artificial intelligence is already a hot topic of research nowadays. This article adopts a B/S architecture to develop and design a college graduate employment decision analysis system, combined with artificial intelligence data mining technology, in order to solve the problem of graduate employment decision-making and management in schools. The main work includes: (1) an online management information system is designed and implemented for graduates, which enables automatic computer processing and orderly management of cumbersome employment tasks; (2) the experiment shows that this paper can be applied to the analysis and prediction of the employment situation of graduates, and fully realizes the entire process of data classification mining, determining the objects and target data collection of data mining. Data preprocessing technology, using C4.5 classification algorithm to generate decision trees, tested with 249 employment analysis information data from 2022, with an accuracy rate of 80%.