Application of Big Data Technology in the Innovation of University Education Management Work

With the development of higher education in China, the scale of colleges and universities is expanding rapidly and the information of teaching management is developing rapidly. Facing the growing management information, it is inevitable to carry out education management innovation to meet the needs of the times. The use of teachers' resources and the assessment of teachers' classroom teaching quality must be solved by modern means to achieve the rational use and optimal allocation of teaching resources and improve the effectiveness of teaching management. The purpose of this paper is to study the application of big data(BD) technology in the innovation of university education management. This paper uses case study and literature research methods, combines data warehousing and data mining technologies in BD technology for evaluating teaching data with data warehousing as an organizational tool, and analyzes the current situation and future development trends of database technology data application in information management of educational administration construction in universities. The experimental results show that the ID3 algorithm performs better when there are fewer number of things and is about 10 seconds faster than the Apriori algorithm. But when the number of things are much more, the Apriori algorithm is significantly better than the ID3 algorithm. Moreover, the Apriori algorithm is more suitable for mining the deep laws of ungrasped objective things, and reveals unknown dependencies between data for rule mining with fuzzy concepts. Therefore, through analysis of data warehouse, data mining techniques and mining algorithms, by data mining of a large amount of assessment data, this paper finds that combining decision trees and association rule algorithms in data mining algorithms with teaching systems, data mining techniques introduced in educational assessment systems for assessment, not only improves the scientific nature of educational management, but also improves the effectiveness of digital education construction.