IJCATR Volume 3 Issue 8

An Evolutionary Based Data Mining technique in Engineering Faculty Evaluation using weka

Lingaraj K. Ranjana V. Pruthvi H. M.
10.7753/IJCATR0308.1002
keywords : Data mining, WEKA , Classification, Clustering, Association rule, Data mining, Web mining

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Data mining, the extraction of hidden knowledge from large amounts of data repositories. Data mining is used in a vast area and numerous commercial data mining applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data mining is concerned with developing new methods to discover knowledge from educational database. Educational data mining is concerned with developing new methods to discover knowledge from educational database. The main goal of this paper is gathering manageable experiences with data mining and also using of these experiences at E learning system and traditional education according to teacher evaluation. In this paper are verified hidden patterns of teacher evaluation by students and is predicted that which teachers will be invited to faculty classes and which teachers will be refusing and education managers due to evaluation reasons will cut the education contract with these teachers in next semesters? And what’s effect of some items for examples Evaluation‘s score, Teacher’s degree, Degree’s type, Teaching experience, Acceptation to next semesters on teacher’s evaluation.
@artical{l382014ijcatr03081002,
Title = "An Evolutionary Based Data Mining technique in Engineering Faculty Evaluation using weka",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "3",
Issue ="8",
Pages ="488 - 535",
Year = "2014",
Authors ="Lingaraj K. Ranjana V. Pruthvi H. M."}
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