An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit
In this paper, we have looked at how easy it is for users in an organisation to be given different roles, as well as how important it is to make sure that the tasks are done well using predictive analytical tools. As a result, ensemble of classification and regression tree link Neural Network was ad...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Ediciones Universidad de Salamanca
2022-10-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/26764 |
| _version_ | 1797943621741182976 |
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| author | Ahmed Alrashedi Maysam Abbod |
| author_facet | Ahmed Alrashedi Maysam Abbod |
| author_sort | Ahmed Alrashedi |
| collection | DOAJ |
| description | In this paper, we have looked at how easy it is for users in an organisation to be given different roles, as well as how important it is to make sure that the tasks are done well using predictive analytical tools. As a result, ensemble of classification and regression tree link Neural Network was adopted for evaluating the effectiveness of role-based tasks associated with organization unit. A Human Resource Manangement System was design and developed to obtain comprehensive information about their employees’ performance levels, as well as to ascertain their capabilities, skills, and the tasks they perform and how they perform them. Datasets were drawn from evaluation of the system and used for machine learning evaluation. Linear regression models, decision trees, and Genetic Algorithm have proven to be good at prediction in all cases. In this way, the research findings highlight the need of ensuring that users tasks are done in a timely way, as well as enhancing an organization’s ability to assign individual duties. |
| first_indexed | 2024-04-10T20:27:05Z |
| format | Article |
| id | doaj.art-12f25d943f744245ab570f59915a4cf5 |
| institution | Directory Open Access Journal |
| issn | 2255-2863 |
| language | English |
| last_indexed | 2024-04-10T20:27:05Z |
| publishDate | 2022-10-01 |
| publisher | Ediciones Universidad de Salamanca |
| record_format | Article |
| series | Advances in Distributed Computing and Artificial Intelligence Journal |
| spelling | doaj.art-12f25d943f744245ab570f59915a4cf52023-01-25T08:47:43ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632022-10-0111212914610.14201/adcaij.2676423704An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational UnitAhmed Alrashedi0Maysam Abbod1College of Business, Human Resources Department, University of JeddahDepartment of Electronic and Computer Engineering, Brunel University LondonIn this paper, we have looked at how easy it is for users in an organisation to be given different roles, as well as how important it is to make sure that the tasks are done well using predictive analytical tools. As a result, ensemble of classification and regression tree link Neural Network was adopted for evaluating the effectiveness of role-based tasks associated with organization unit. A Human Resource Manangement System was design and developed to obtain comprehensive information about their employees’ performance levels, as well as to ascertain their capabilities, skills, and the tasks they perform and how they perform them. Datasets were drawn from evaluation of the system and used for machine learning evaluation. Linear regression models, decision trees, and Genetic Algorithm have proven to be good at prediction in all cases. In this way, the research findings highlight the need of ensuring that users tasks are done in a timely way, as well as enhancing an organization’s ability to assign individual duties.https://revistas.usal.es/cinco/index.php/2255-2863/article/view/26764neural networkgenetic algorithmdecision treesnon-linear model |
| spellingShingle | Ahmed Alrashedi Maysam Abbod An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit Advances in Distributed Computing and Artificial Intelligence Journal neural network genetic algorithm decision trees non-linear model |
| title | An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit |
| title_full | An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit |
| title_fullStr | An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit |
| title_full_unstemmed | An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit |
| title_short | An Ensemble Classification and Regression Neural Network for Evaluating Role-based Tasks Associated with Organizational Unit |
| title_sort | ensemble classification and regression neural network for evaluating role based tasks associated with organizational unit |
| topic | neural network genetic algorithm decision trees non-linear model |
| url | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/26764 |
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