Classification Process of Applicant’s data in a Job Agency using Rule-Based Classification Method

Abstract

Nowadays, everybody has to work and so, they search the associated job balancing with their qualifications. For every graduated people have many opportunities in every workplace. But, they may not be free to search one job after other themselves. So, we need job agency which helps employees find work. In this paper, we propose a job agency system. The goal of this paper is to know the job which concerned with employees’ qualifications. This system includes two parts including Training Process which apply pre-defined post and Classification process to classify the incoming employees’ qualifications using Rule-Based Classification in Data Mining. This method is to extract rules and then predict unknown class labels (posts). Decision tree can easily convert to classification IF-THEN rules by using decision tree induction. There, ID3 (Iterative Dichotomiser 3) Algorithm will be used to generate decision tree.