Model Design of Information Management System Based on Data Mining

2009 ◽  
Author(s):  
Cheng Ping-guang
Keyword(s):  
Data Mining ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Model Design

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.

Data Mining technology as a tool for supporting analytical decision making process in Health Information Management System (HIMS)

2021 ◽  
Vol 5 (2) ◽  
pp. 139-147
Author(s):  
Gbenga Femi Asere ◽  
Dung Emmanuel Botson
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information System ◽  
Strategic Management ◽  
Information Management ◽  
Management System ◽  
Clinical Decision Making ◽  
Information Management System ◽  
Decision Making Process ◽  
Mining Technology

Wide spread use of information system in the delivery of managed healthcare system and the challenges of identifying and disseminating relevant healthcare information, complex and diverse data and knowledge forms and tasks coupled with the prevalence of legacy systems require automated approaches for effective and efficient utilization of massive amount of data to support in strategic planning and decision-making and assist the strategic management mechanisms. Despite the fact that data mining is progressively used in information systems as a technology to support analytical decision making, it is however still barely used in hospital information system to support analytical decision making process. Hence, this paper presents the usefulness of data mining technology in Hospital Information Management System (HIMS). Data mining technology offered capabilities to increase the productivity of medical personnel, analyze care outcomes, lower healthcare costs, improve healthcare quality by using fast and better clinical decision making and generally assist the strategic management mechanisms.

The Application of Data Mining Technology in the Remote Open Management System

2014 ◽  
Vol 687-691 ◽  
pp. 1141-1144
Author(s):  
Mei Bai
Keyword(s):  
Data Mining ◽  
Quality Assessment ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Assessment System ◽  
Detailed Design ◽  
Mining Technology ◽  
Open Management ◽  
At Home

This paper introduces the concept of database and data mining, combined with management system of quality assessment system and method of data mining technology. In this paper, applying the data mining skill to the field of remote open management system, introduces the development of data mining in China and the necessity and importance of data mining in remote open information management system. This thesis analyzes the main problems in the remote open management system. On the basis of the relevant researches both at home and abroad, it presents the significance of the application of data mining in remote open management system. It analyzes the needs of the system based on data mining and presents a detailed design and implication of such a system.

A Research of Information Management System Based on Data Mining

2014 ◽  
Vol 513-517 ◽  
pp. 616-619 ◽  
Author(s):  
Ji Kun Wang ◽  
Xing Zhi Hu ◽  
Xue Zhe Li ◽  
Fei Ji Ding
Keyword(s):  
Data Mining ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
University Management ◽  
Practical Applications ◽  
Reference Information ◽  
Information Management Systems ◽  
The University ◽  
Guidance Information

As it's known to all, taking full advantage of useful information in university information management systems can improve the quality and efficiency of university management. With the aim at the characteristic of the information management system, this paper proposes practical applications of the Data Mining in university information management by analyzing the process, main workload and main technical methods of data mining. And finally, we provide some guidance information and reference information for the university management staffs to help them accomplish the university management quickly and efficiently.

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.

Design and Implementation of Information Management System for Training Institutions

2015 ◽  
Vol 743 ◽  
pp. 652-655
Author(s):  
L. Zhang ◽  
Yong Zhong Tang
Keyword(s):  
Information Management ◽  
Management System ◽  
Development Process ◽  
Information Management System ◽  
Model Design ◽  
Analysis Model ◽  
Software Support ◽  
Business Requirement ◽  
Training Institutions ◽  
And Training

By good software support, information management process will be more standardized, the work efficiency and the service quality will be improved, the communication between the training institutions and students will be strengthened. In this paper, an information management system is designed to meet the daily business requirement of education and training institutions. Starting from the requirement analysis, the analysis model, design model, the framework, and layered development process are discussed.

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