Title: Educational data mining towards knowledge engineering: a review state

Authors: Karan Sukhija; Manish Jindal; Naveen Aggarwal

Addresses: Department of Computer Science and Application, Panjab University, Chandigarh, Punjab, India ' Panjab University Regional Centre, Muktsar, Punjab, India ' University Institute of Engineering & Technology, Panjab University, Chandigarh, Punjab, India

Abstract: Data mining extracts the information from an enormous data provisions, often recognised as knowledge discovery in databases. It is procedure of semi-automatically examining huge amount of databases to discover valuable patterns. Knowledge management is a multifaceted approach that assists in attaining executive objectives by building the pre-eminent use of knowledge. This paper has threefold objective. Initially, it explains data mining process and numerous data mining techniques that help in the removal of concealed patterns. Furthermore, it elaborates the numerous tendencies and fields amended data mining technology for easy access and reclamation of valuable information. Data mining application area comprises marketing, telecommunication deception, funding, medicinal education area and so on. At last, emphases on educational data mining that is related with emerging techniques to explore the distinguished data gained from educational settings and consequences in dropping the intricacy of numerous data mining tools used by educationalists is given.

Keywords: educational data mining; knowledge engineering; knowledge discovery; databases; knowledge management.

DOI: 10.1504/IJMIE.2016.073362

International Journal of Management in Education, 2016 Vol.10 No.1, pp.65 - 76

Received: 28 Feb 2015
Accepted: 04 May 2015
Published online: 30 Nov 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article