A Study on Computerized Employee Recruitment Performance Evaluation and Turnover Prediction Using Data Mining Techniques

Abstract

A employee performance appraisal is regarded as one of the tools of human resources performance management. People, their knowledge and skills are currently considered to be the most valuable resource a company has. The article focuses on methods of employee performance appraisal in many organizations around the world. Recruitment is the process of having the person, in the right place, at the right time and it is crucial to organizational performance. Finding and hiring the best qualified candidate for a job opening, in a timely and cost effective manner. The recruitment process includes analyzing the requirements of a job, attracting employees to that job, screening and selecting applicants, hiring, and integrating the new employee to the organization. In existing system HR team hiring employees based on their experiences and previous knowledge .our proposed system tells about the employee hiring, evaluating performance and turnover prediction everything is computerized. With this we can decrease the spending time for recruitment process. We can evaluate the performance using personality traits from the experienced persons. And we can predicate the employee turnover using classification techniques. There are different types of data mining tools and methods based on their accuracy, calculation time and user friendliness. Data mining techniques are used to find the hidden information and relation between large amounts of data