A Data Mining Approach to Predict the Performance of College Faculty

J. Jelsteen and K. Anandan

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 1, 18-23

Abstract: The success of a given job calculated against preset known standards of accuracy, completeness, cost, and speed. Performance is deemed to be the fulfilment of a commitment, in a manner that releases the performer from all liabilities under the agreement. In this paper we summarize our research by compare the Bayesian network classifiers for prediction of faculty performance which helps in overall growth of the college. The data mining approach used for extracting useful models from the institutional database is able to extract certain anonymous trends in faculty performance when assessed across several parameters.

Keywords: Data Mining Techniques; Bayesian Networks Classifiers; Classification; Prediction (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT17217
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