DATA MINING IN EDUCATION: A COURSE EVALUATION WITH ASSOCIATION RULES

Abstract

In this article data mining is applied in education field. Data from the students who take data
mining class test scores, the level of the test and the distribution of the scores are examined.
The association rules helped to determine the students answering the particular types of
questions together.
With massive amounts of data continuously being collected and stored, many industries are
becoming interested in mining such patterns from their databases. The discovery of interesting
correlation relationships among huge amounts of business transaction records can help in
many business decision-making processes, such as catalog design, cross- marketing, and
customer shopping behavior analysis. Association rules are an important class of regularities
in data. Mining of association rules is a fundamental data mining task. Its objective is to find
all co-occurence relationships among data items. Association rules analysis is applicable in
different application domains such as market basket analysis, education, bioinformatics,
finance, health and web mining.