COMPARATIVE ANALYSIS OF DATA MINING CLASSIFICATION ALGORITHM FOR STUDENTS SOFT SKILLS
Journal Title: World Journal of Engineering Research and Technology - Year 2017, Vol 3, Issue 3
Abstract
Data mining refers to the finding of relevant and useful information from databases. Data mining is also called Knowledge Discovery in Database (KDD), pattern Analysis, Data Archiology, and Business Intelligences. Data mining techniques are mostly used in educational environments. Educational data mining is an emerging field exploring data in education context by applying different data mining tools and techniques. The ability to predict the students writing skills is very important in educational environments. In this paper focused on comparison of four classification algorithms such as J48, Random Tree, LAD Tree, and ADTree. These algorithms are compared based on Correctly Classified Instances, Incorrectly Classified Instances, Recall, F-Measures, and Precision.
Authors and Affiliations
R. Kowsalya
Keywords
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