In the intelligent management of El

In the intelligent management of Electronic human resource management (E-HR) in higher vocational colleges, it is necessary to set up an intelligent information management system to improve the ability of information query and data retrieval of E-HR intelligent management in higher vocational colleges. This paper puts forward the development technology of E-HR intelligent management system in higher vocational colleges based on big data analysis technology. The system is divided into two modules: E-HR intelligent management information retrieval and data mining algorithm design and software development of information management system. Big data fusion and feature clustering are used to design the intelligent information retrieval algorithm in the intelligent management of E-HR in higher vocational colleges, and then to construct the big data characteristic information flow of E-HR intelligent management in higher vocational colleges. The method of edge fusion and feature decomposition is used to reconstruct the feature vector of E-HR intelligent management in higher vocational colleges, and the E-HR intelligent management information fusion is processed in the reconstructed vector distribution subspace. Realize E-HR intelligent management data mining in higher vocational colleges. Under the embedded Linux kernel control model, the software of E-HR intelligent management system in higher vocational colleges is developed, and the E-HR intelligent management database is established, and the data cache is designed by My SQL. Combined with TCP/IP server and A / D conversion protocol, the intelligent management information of E-HR in higher vocational colleges can be read and receive in real time, and the system optimization design is completed. The simulation results show that the E-HR intelligent management system designed in higher vocational colleges has good capability of data mining and information retrieval, and has better performance indexes in data recall rate and precision rate.