Analysis of Data Mining Model for Successful Implementation of Data Warehouse in Tertiary Institutions (A Case Study of Irahim Badamasi Babangida University)

Author:

Amit Mishra 1

Affiliation:

1. Assistant Professor, Baze University, Abuja. Nigeria

Abstract

This research work with title “analysis of data mining model for successful implementation of data warehouse in tertiary institutions” is a proposal that provides a framework that is used to structure, plan, and control the process involved in information discovery for tertiary institutions. It equally deals with series of steps or procedures which governs the analysis and design of this particular Data Mining Model for Tertiary Institutions. The methods, techniques and procedures which are used to collect and analyze information were also provided and implemented. Object oriented Analysis and Design methodology (OOADM) was deployed to develop this model. The current system was analysed by using Use Case approach to identify the existing objects in the current system. Use Case diagrams were equally developed and the relationship between the objects was drawn. A diagram was drawn to represent the identified problems. Finally, the High-Level Model (HLM) that would be used to design the proposed system was drawn to enable the System Designer to develop a computer-based model that forecasts educational behaviours with little or no user intervention.

Publisher

Technoscience Academy

Subject

General Medicine

Reference28 articles.

1. Anthony Danna, Oscar H. Gandy, (2002). Journal of business ethics: All that glitters is not gold Digging Beneath the surface of data mining.

2. Cesar V, Javier B, liela S and Alvaro O (2009).Recommendation in Higher Education using data mining techniques, In Proceedings of the Educational Data Mining, conference.

3. Fadzilah S. and Abdoulha M., (2009).Uncovering hidden information within University’s Student enrolment data using Data Mining, in proceedings of the third Asia international conference on modelling & simulation conference, IEEE Computer Society. M E. Fayad SJSU-compE L09546 fall (2002).

4. Muslihah W., Yuhanim Y., Norshahriah W, Mohd Rizal M., Nor Fatimah A., and Hoo Y. S., (2009). Predicting NDUM Student’s Academic Performance Using Data Mining Techniques, In Proceedings of the Second International Conference on Computer and Electrical Engineering, IEEE Computer Society.

5. Naeimeh D., Mohammad S., and Mohammad B, (2004).A New Model for Using Data Mining Technology in Higher Educational Systems in Proceedings of the IEEE Conference.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3