Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

Data mining has recently grown in favour among researchers. Data mining offers a variety of strategies and approaches for analysing data generated by various applications in various domains. Similarly, educational mining offers a method for examining educational data sets. Educational mining is concerned with establishing ways for uncovering information from educational data, and it aids in the extraction of hidden patterns and the discovery of new knowledge from vast educational datasets via the use of data mining techniques and tools. Educational mining knowledge may be utilised to make decisions at higher education institutions. This work is based on a survey of the literature on various data mining approaches, as well as specific algorithms such as classification, clustering, and so on. This research examines the efficacy of mining approaches with an educational data set for higher education institutions.

Keywords: Data mining; Higher Education Data, Classification; Educational Mining; Clustering