An Empirical Study of the Applications of Data Mining Techniques in Higher Education

Abstract

Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of data mining in educational institution to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples.

Authors and Affiliations

Dr. Varun Kumar, Anupama Chadha

Keywords

Related Articles

An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images

According to the World Health Organization, breast cancer is the main cause of cancer death among women in the world. Until now, there are no effective ways of preventing this disease. Thus, early screening and detection...

Hierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews

Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current w...

The Development of Geographic Information System using Participatory GIS Concept of Spatial Management

Spatial management of Bandung Regency area has been regulated on Regional Regulation (PERDA), which is PERDA Bandung Regency Number 27 of 2016. Recently there are no facilities that can be used as a dissemination media o...

The Determination of Affirmative and Negative Intentions for Indirect Speech Acts by a Recommendation Tree

For context-based recommendation systems, it is necessary to detect affirmative and negative intentions from answers. However, traditional studies can not determine these intentions from indirect speech acts. In order to...

Draft dynamic student learning in design and manufacturing of complex shape parts

The contribution deals with the dynamic teaching of students through blended learning and teaching online distance teaching which can be considered nowadays to be a very effective and dynamic education of students. Conte...

Download PDF file
  • EP ID EP155307
  • DOI -
  • Views 96
  • Downloads 0

How To Cite

Dr. Varun Kumar, Anupama Chadha (2011). An Empirical Study of the Applications of Data Mining Techniques in Higher Education. International Journal of Advanced Computer Science & Applications, 2(3), 80-84. https://europub.co.uk/articles/-A-155307