Author(s)

Meng Xie

Corresponding Author

Meng Xie

Abstract

This article focuses on the current challenges faced by university students' organization activities, and is committed to exploring effective ways to optimize activities and build decision support systems with the help of big data. Through the in-depth analysis of big data technology, university students' development theory and decision support system theory, this article comprehensively studies the optimization and decision support system of university students' organizational activities based on big data by means of demand analysis, architecture design, functional module planning and key technology research. The system can realize accurate planning, efficient publicity, scientific implementation and comprehensive assessment of university students' organizational activities from all levels of data collection, processing and application, with the help of key technologies such as big data collection and preprocessing, activity optimization model construction and decision support algorithm. The system based on big data can effectively improve the quality and participation of university students' organizational activities, and provide strong support for the scientific and intelligent development of university students' work.

Keywords

Big Data; University Students Organize Activities; Decision Support System; System Design; Key Technology