A Data Mining Approach to Predict the Performance of College Faculty

Authors(2) :-J. Jelsteen, K. Anandan

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.

Authors and Affiliations

J. Jelsteen
Assistant Professor, Nehru College of Management, Coimbatore, Tamil Nadu, India
K. Anandan
Assistant Professor, Nehru College of Management, Coimbatore, Tamil Nadu, India

Data Mining Techniques, Bayesian Networks Classifiers, Classification, Prediction

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 18-23
Manuscript Number : CSEIT17217
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. Jelsteen, K. Anandan, "A Data Mining Approach to Predict the Performance of College Faculty", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.18-23, January-February-2017.
Journal URL : http://ijsrcseit.com/CSEIT17217

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