Work

Data Mining in Education: a Course Evaluation With Association Rules

Year: 2016
Type: article
Abstract: In this article data mining is applied in education field. Data from the students who take datamining 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 ofquestions together.With massive amounts of data continuously being collected and stored, many industries arebecoming interested in mining such patterns from their databases. The discovery of interestingcorrelation relationships among huge amounts of business transaction records can help inmany business decision-making processes, such as catalog design, cross- marketing, andcustomer shopping behavior analysis. Association rules are an important class of regularitiesin data. Mining of association rules is a fundamental data mining task. Its objective is to findall co-occurence relationships among data items. Association rules analysis is applicable indifferent application domains such as market basket analysis, education, bioinformatics,finance, health and web mining.
Institution: Istanbul University
Language: English
Open Access status: bronze
OpenAlex ID: W7221208137
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