A Case Study of Evaluating Job Readiness with Data Mining Tools and CRISP-DM Methodology

Abstract

This paper analyses the use of data mining techniques in evaluating job readiness of unemployed population in Ireland. To effectively help a jobseeker to enter or return to employment, it is necessary to develop a personal plan and provide them with suitable services. This report investigates how employment and further education needs are recognized among the customers of the Irish public employment services. Following the steps of CRISP-DM methodology, it explores the characteristics of the group and attempts to identify the underlying pattern. Finally, after applying suitable mining techniques, it is discussed whether the classification system with regard to job readiness can be automated.