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Design and Research of Data Analysis System for Student Education Improvement (Case Study: Student Progression System in University)

机译:改善学生教育的数据分析系统的设计和研究(案例研究:大学的学生升学系统)

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Various business organizations use Data Warehouse (DW) for enhancing their decision making capabilities of their organizations for progress. In this paper, we present a design and development of a Data Warehouse framework for better and more thorough analysis of the university's data for data mining purposes and business intelligence reporting purposes. The proposed system constitutes an intelligent system which collects data from different departments of different colleges, store data into the large data warehouse of the university and perform thorough analysis of student's past data such as survey-based data of the university. Analysis of data could be achieved with OLAP operations. In our proposed research, the main area is Dimensional Modeling and design of the Student Progression System. Student Progression System covers broad categories like Registration, Student's Personal Information, Academic History, Course information, Degree Information, Semester wise result Improvement, Faculty Information, Departmental data, College Data etc. We developed a multidimensional Data Model from the different types of data sources by using ETL processes for the creation of multiple data marts i.e Student's semester wise progression as well as a faculty semester wise report.
机译:各种业务组织都使用数据仓库(DW)来增强其组织的决策能力以取得进步。在本文中,我们提出了数据仓库框架的设计和开发,以便更好,更彻底地分析大学数据,以进行数据挖掘和商业智能报告。所提出的系统构成了一个智能系统,该系统收集来自不同学院不同部门的数据,将数据存储到大学的大型数据仓库中,并对学生的过去数据(例如大学的基于调查的数据)进行全面分析。数据分析可以通过OLAP操作来实现。在我们提出的研究中,主要领域是学生进阶系统的维度建模和设计。学生进阶系统涵盖了广泛的类别,例如注册,学生的个人信息,学术历史,课程信息,学位信息,学期明智的成绩改善,教师信息,部门数据,学院数据等。我们从不同类型的数据源中开发了多维数据模型通过使用ETL流程创建多个数据集市,即学生的学期进度和教师的学期报告。

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