A Data Mining Approach to Predict the Performance of College Faculty

Authors

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

Keywords:

Data Mining Techniques, Bayesian Networks Classifiers, Classification, Prediction

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-02-28

Issue

Volume 2, Issue 1, January-February-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
J. Jelsteen, K. Anandan, " A Data Mining Approach to Predict the Performance of College Faculty, IInternational 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.