logo
Ponte Academic Journal
Aug 2017, Volume 73, Issue 8

EMPIRICAL ANALYSIS OF KNOWLEDGE DEVELOPMENT IN HIGHER EDUCATION USING DATA MINING METHODOLOGIES

Author(s): V. V. Jaya Rama Krishnaiah ,Penubothu Ajith, Kurra Rajasekhara Rao

J. Ponte - Aug 2017 - Volume 73 - Issue 8
doi: 10.21506/j.ponte.2017.8.24



Abstract:
With the growing size, challenges, complexities, management and dynamics in the domain, are kept up the development in an educational domain become a challenging task. It is known fact that major educational institutes ranging from primary school, college to universities uses information technology infrastructure in their administration, academics and research. They collect information from stakeholder�s time to time and store the same in computers. The objective of this paper is to focus on the need for using data mining tools by an educational institute irrespective of their educational domain. By using these analytical tools, we can emphasis on classifying, predicting the behaviour, performance of student as well as teacher�s performance.
Download full text:
Check if you have access through your login credentials or your institution