Using Data Mining Techniques to Build a Classification Model for Predicting Employees Performance
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 2
Abstract
Human capital is of a high concern for companies’ management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Recently, there has been a growing interest in the data mining area, where the objective is the discovery of knowledge that is correct and of high benefit for users. In this paper, data mining techniques were utilized to build a classification model to predict the performance of employees. To build the classification model the CRISP-DM data mining methodology was adopted. Decision tree was the main data mining tool used to build the classification model, where several classification rules were generated. To validate the generated model, several experiments were conducted using real data collected from several companies. The model is intended to be used for predicting new applicants’ performance.
Authors and Affiliations
Qasem A. Al-Radaideh , Eman Al Nagi
Keywords
Related Articles
- EP ID EP86526
- DOI -
- Views 104
- Downloads 0
Role Based Multi-Agent System for E-Learning (MASeL)
Software agents are autonomous entities that can interact intelligently with other agents as well as their environment in order to carry out a specific task. We have proposed a role-based multi-agent system for e-learnin...
Towards a Fine-Grained Access Control Mechanism for Privacy Protection and Policy Conflict Resolution
Access control is a security technique that specifies access rights to resources in a computing environment. As information systems nowadays become more complex, it plays an important role in authenticating and authorizi...
Double Diode Ideality Factor Determination using the Fixed-Point Method
In this paper, we are interested in the diode ideality factor study of the double exponential equivalent model, based on the properties of the fixed point method. The optimal choice of this factor will improve the photov...
Formal Concept Analysis based Framework for Evaluating Information System Success
This paper aims to propose a methodology for evaluating information system success. It is based on two main fields, which are formal concept analysis and multi criteria decision-making methods. A framework whose main obj...
Handwritten Digit Recognition based on Output-Independent Multi-Layer Perceptrons
With handwritten digit recognition being an established and significant problem that is facing computer vision and pattern recognition, there has been a great deal of research work that has been undertaken in this area....