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Predicting Human Productivity for an Organization


  • Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore –560067, Karnataka, India


Objective: The main objective of the paper is to evaluate the performance level of an employee using Predictive Analytics. Human capital is a major concern for an organization as they want to hire most qualified one who will perform well. This human resource can be used to find the future of the organization. Method: The advanced branch of data engineering is Predictive Analytics is used for this purpose. Generally, these analytics predicts some occurrence or probability based on data. The future occurrence or events, were predicted by analyzing the historical data. Finding: With the help of the rules generated by the decision tree classifier, performance of an employee were found by testing with the attributes. This paper concentrates on gathering information about the employees from the organizational database, based on the analysis of historical data generates an decision tree, validating the attributes of the employee with decision tree. With the latest prediction algorithm, we will predict employees’ performance more efficiently than the existing system.


Data Mining, Decision Tree, Employee Performance, Prediction, Regression.

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