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

Improved Langley and Ratio Langley Methods for Improving Sky-Radiometer Accuracy

Improved Langley Method (ILM) is proposed to improve the calibration accuracy of the sky-radiometer. The ILM uses that the calibration coefficients of other arbitrary wavelengths can be presumed from the calibration coef...

Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer

Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination problem. The p...

Encryption Algorithms for Color Images: A Brief Review of Recent Trends

The recent years have witnessed rapid developments in the field of image encryption algorithms for secure color image processing. Image encryption algorithms have been classified in different ways in the past. This paper...

Empirical Validation of Web Metrics for Improving the Quality of Web Page

Web page metrics is one of the key elements in measuring various attributes of web site. Metrics gives the concrete values to the attributes of web sites which may be used to compare different web pages .The web pages ca...

Download PDF file
  • EP ID EP155307
  • DOI -
  • Views 74
  • 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