Analysis of Effect of Faculty Satisfaction with Data Extraction Technique: A Perspective on Institutional Performance
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2025
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| _version_ | 1866901735273922560 |
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| author | Khaji, Saiyad M. |
| author_facet | Khaji, Saiyad M. |
| contents | <p><strong><em><span>Abstract</span></em></strong></p> <p><em><span>This paper tries to analyse the effect on Institutional performance of lecturer satisfaction with help of one of the data extraction techniques. Data extraction is done by Naïve Bayes technique, in this method data is collected through interviews and questionnaires carried out in at least 10 higher education institutions in the Mysore. The qualitative criteria were Promptness, Compassion, reliability and Responsibility. The Survey indicates that the percentage of accuracy with 86.18% and 82.01% Precision, and 93.75% recall value. The data mining technique used is Naïve Bayes which is very much recommended to guess the degree of satisfaction of the faculty with regard to institutional performance based on results of tests using rapid miner application.</span></em></p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14944884 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Analysis of Effect of Faculty Satisfaction with Data Extraction Technique: A Perspective on Institutional Performance Khaji, Saiyad M. data Extraction, faculty satisfaction, prediction, naïve Bayes, Mysore <p><strong><em><span>Abstract</span></em></strong></p> <p><em><span>This paper tries to analyse the effect on Institutional performance of lecturer satisfaction with help of one of the data extraction techniques. Data extraction is done by Naïve Bayes technique, in this method data is collected through interviews and questionnaires carried out in at least 10 higher education institutions in the Mysore. The qualitative criteria were Promptness, Compassion, reliability and Responsibility. The Survey indicates that the percentage of accuracy with 86.18% and 82.01% Precision, and 93.75% recall value. The data mining technique used is Naïve Bayes which is very much recommended to guess the degree of satisfaction of the faculty with regard to institutional performance based on results of tests using rapid miner application.</span></em></p> <p> </p> |
| title | Analysis of Effect of Faculty Satisfaction with Data Extraction Technique: A Perspective on Institutional Performance |
| topic | data Extraction, faculty satisfaction, prediction, naïve Bayes, Mysore |
| url | https://doi.org/10.5281/zenodo.14944884 |