scholarly journals Construction of Student Information Management System Based on Data Mining and Clustering Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
XueHong Yin
Keyword(s):  
Data Mining ◽  
Genetic Algorithm ◽  
Information Management ◽  
Management System ◽  
Clustering Algorithm ◽  
Student Evaluation ◽  
Information Management System ◽  
Fuzzy Genetic Algorithm ◽  
Student Information ◽  
Fuzzy Genetic

Data mining is a new technology developed in recent years. Through data mining, people can discover the valuable and potential knowledge hidden behind the data and provide strong support for scientifically making various business decisions. This paper applies data mining technology to the college student information management system, mines student evaluation information data, uses data mining technology to design student evaluation information modules, and digs out the factors that affect student development and the various relationships between these factors. Predictive assessment of knowledge and personalized teaching decision-making provide the basis. First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed. Compared with traditional clustering algorithm and improved genetic fuzzy clustering algorithm, the effectiveness of the algorithm proposed in this paper is proved. Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. Finally, clustering the students’ scores with a clustering algorithm based on fuzzy genetic algorithm, the experimental results show that this method can better analyze the students’ scores and help relevant teachers and departments make decisions.

Study on Data Mining with Decision Tree Algorithm in the Student Information Management System

2014 ◽  
Vol 543-547 ◽  
pp. 3602-3605
Author(s):  
Liang Li ◽  
Ying Zheng ◽  
Xiao Hua Sun ◽  
Fu Shun Wang
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Decision Tree Algorithm ◽  
Mining Technology ◽  
Tree Algorithm ◽  
Student Information ◽  
Decision Tree Method

With the advance of education informationization in china, information technology and data mining technology has been widely used in the field of education. The decision tree method is one of the data mining methods; it does not require any assumption, can intelligent classification to a large amount of data directly. According to certain rules to find hidden and valuable information.Use the idea of learners as the center as guiding principle, using decision tree algorithm of data mining technology to build student information management system, selects typical C4.5 algorithm among the decision tree methods, Take mass information about employment of graduation in university students' information management system as an example to generate the decision tree, collect potential rules and factors in favor of graduat employment, so as to guide the education and management.

A Strategic Planning of Developing Student Information Management System Using SWOT Technique

2016 ◽  
Vol 2 (3) ◽  
pp. 515
Author(s):  
Luay Idrees Sarhan ◽  
Akeela M. Atroshi ◽  
Nawzat S. Ahmed
Keyword(s):  
Information System ◽  
Strategic Planning ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Analysis Tool ◽  
Student Information Systems ◽  
Student Information System ◽  
Key Factor ◽  
Student Information

The strategic planning of developing any information system is the key factor of progress any organization. Hence, SWOT (Strength, weakness, opportunities and threats) analysis for the strategic planning of developing information system has proved to be a good analysis tool for further development and progress of the universities/organization. Further, the implementation of computerized student information management system has become an important issue within the university campus to exchange such information between students and staff. Many studies have developed student information system through the converting of paper-based system to computer-based system in order to facilitate the work of staff. However, none of these studies focused on the development of such systems based on the strategic planning using SWOT technique. Therefore, this research focuses on the requirements needed to develop student information system based on the aforementioned strategic planning technique. Some universities located in the Kurdistan Region, Iraq have been tacking to do the investigation. Moreover, SWOT technique was selected to find strengths, weaknesses, opportunities and threats of developing such system. The findings of this research were processed as matching strengths with opportunities and converting weaknesses or threats to strengths or opportunities. Based on the results, it has been found that the need to address student information systems is of utmost importance now more than ever in order to survive and continue in the competition environment.            

scholarly journals A Student Information Management System Based on Fingerprint Identification and Data Security Transmission

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Pengtao Yang ◽  
Guiling Sun ◽  
Jingfei He ◽  
Peiyao Zhou ◽  
Jiangjiang Liu
Keyword(s):  
Information Management ◽  
Data Security ◽  
Management System ◽  
Information Management System ◽  
Data Encryption ◽  
Fingerprint Identification ◽  
Aes Algorithm ◽  
New Type ◽  
Student Information ◽  
Encryption Method

A new type of student information management system is designed to implement student information identification and management based on fingerprint identification. In order to ensure the security of data transmission, this paper proposes a data encryption method based on an improved AES algorithm. A new S-box is cleverly designed, which can significantly reduce the encryption time by improving ByteSub, ShiftRow, and MixColumn in the round transformation of the traditional AES algorithm with the process of look-up table. Experimental results show that the proposed algorithm can significantly improve the encryption time compared with the traditional AES algorithm.

A Graduate Student Information Management System

1983 ◽  
Vol 12 (1) ◽  
pp. 39-46 ◽  
Author(s):  
M. Clinton Miller ◽  
Yu-Man Matthew Wong ◽  
Yvonne Michel
Keyword(s):  
South Carolina ◽  
Information Management ◽  
Graduate Student ◽  
Management System ◽  
Data Entry ◽  
Data File ◽  
Information Management System ◽  
Graduate Studies ◽  
Report Generation ◽  
Student Information

This paper describes an online computerized Graduate Student Information Management System developed for the College of Graduate Studies at the Medical University of South Carolina. The system enables the staff of the Office of Graduate Studies to monitor the flow of requests for admission and graduate student compliance with degree requirements. The information system utilizes the MUMPS interpretive language and inverted tree data file structure. The system supports on-line key to disk data entry, editing, updating, sorting, and report generation. It is interfaced with statistical packages such as BMDP and SPSS for data analysis.

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