Design of college digital enrollment System based on big data platform in digital communication era

The traditional college digital enrollment system has some problems such as low throughput rate and long information processing time. Therefore, this paper designs a college digital enrollment system based on big data platform in the digital communication era. Through data mining method to collect data of university students, the use of secondary structure for college student data format conversion, according to the source data to data cleaning, based on average method added to achieve data conversion, college student admissions grades obtained through discretization process analysis, to build grey model of digital recruitment of students information management in institutions of higher education. The experimental results show that the information processing time of the college digital enrollment system is only 5. 0s, and the throughput rate of the college digital enrollment system is 59. 8b/s, indicating that the system has superior performance.