Abstract
Abstract Nowadays, the modern management is promoted to resolve the issue of unreliable information transmission and to provide work efficiency. The basic aim of the modern management is to be more effective in the role of the school to train talents and serve the society. This article focuses on the application of data mining (DM) in the development of information management system (IMS) in universities and colleges. DM provides powerful approaches for a variety of educational areas. Due to the large amount of student information that can be used to design valuable patterns relevant to student learning behavior, research in the field of education is continuously expanding. Educational data mining can be used by educational institutions to assess student performance, assisting the institution in recognizing the student’s accomplishments. In DM, classification is a well-known technique that has been regularly used to determine student achievement. In this study, the process of DM and the application research of association rules is introduced in the development of IMS in universities and colleges. The results show that the curriculum covers the whole field and the minimum transaction support count be 2, minconf = 70%. The results also suggested that students who choose one course also tend to choose the other course. The application of DM theory in university information will greatly upsurge the data analysis capability of administrators and improve the management level.
Highlights
With the advancement of the modern management theory and decision-making science, as well as their application in university and college management, universities and colleges will shift from experiencebased management to scientific or information management based on the modern management theories and methodologies [1]
In the previous teaching management, school education management (SEM) only focused on the unique characteristics of the educational field, exaggerating the unique characteristics of school education, emphasizing the management mode based on experience, and to some extent ignoring the similarities between education and general management [5]
This study presents the application research of Data mining (DM) in the development of university information management system (IMS)
Summary
With the advancement of the modern management theory and decision-making science, as well as their application in university and college management, universities and colleges will shift from experiencebased management to scientific or information management based on the modern management theories and methodologies [1]. Most universities and colleges are dealing with a conflict between rising student numbers and tightening teaching resources, posing unprecedented difficulties to education management. SEM only emphasizes the particularity of education field and ignores the commonness between general and education management to some extent. It places too much emphasis on the precision of school curriculum and not enough on the experience-based management approach. The subdivision and reorganization of data process add and split the selected records These data records are chosen from the data exploration clustering by analyzing the neural network (NN), decision tree (DT) mathematical statistics, and time series visualization. Most universities and colleges have an IMS in place, which have essentially overcome the problems and drawbacks of an old-fashioned teaching management [11] It is the key to the success of DM to build an analysis model that is really appropriate for mining algorithm
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