首页> 外文会议>International Conference on Micro-Electronics and Telecommunication Engineering >Design and Research of Data Analysis System for Student Education Improvement (Case Study: Student Progression System in University)
【24h】

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

机译:学生教育改进数据分析系统的设计与研究(案例研究:大学学生进展系统)

获取原文

摘要

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:各种业务组织使用数据仓库(DW)来提高其组织的决策能力以进行进度。在本文中,我们展示了数据仓库框架的设计和开发,以便于对大学数据挖掘目的和商业智能报告目的的更好更彻底的分析。该拟议的系统构成了一个智能系统,该系统收集来自不同大学的不同部门的数据,将数据存储到大学的大型数据仓库中,并对学生过去的数据进行全面分析,如大学的调查数据。通过OLAP操作可以实现数据分析。在我们拟议的研究中,主要区域是学生进展系统的维度建模和设计。学生进展系统涵盖广泛类别,如注册,学生的个人信息,学术历史,课程信息,学位信息,学期明智的结果改进,教师信息,部门数据,大学数据等。我们从不同类型的数据源开发了一个多维数据模型通过使用ETL流程来创建多个数据集市,即学生的学期明智的进展以及教师学期明智的报告。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号