Data Mining Application in Higher Learning Institutions

Informatics in Education

Mohammad Reza BEIKZADEH¹  Naeimeh DELAVARI²  Somnuk PHON-AMNUAISUK² 

[1] Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia;Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia;

关键词: data mining;    explicit knowledge;    classification;    prediction;    association rule analysis;    clustering;    decision tree;    neural network classification;    radial basis function;    neural network prediction;   

DOI  :  

来源: DOAJ

【 摘 要 】

One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more complex as the complexity of educational entities increase. Educational institute seeks more efficient technology to better manage and support decision making procedures or assist them to set new strategies and plan for a better management of the current processes. One way to effectively address the challenges for improving the quality is to provide new knowledge related to the educational processes and entities to the managerial system. This knowledge can be extracted from historical and operational data that reside in the educational organization's databases using the techniques of data mining technology. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper presents the capabilities of data mining in the context of higher educational system by i) proposing an analytical guideline for higher education institutions to enhance their current decision processes, and ii) applying data mining techniques to discover new explicit knowledge which could be useful for the decision making processes.

【 授权许可】

Unknown