A Novel Approach for the Recruitment Process in Human Resources Management: Decision Support System Based on Formal Concept Analysis

Discovering and using valuable and meaningful data which is hidden in large databases can have strategic importance in the managerial decision-making process for organizations to gain competitive advantage. With the increasing data flow, it has become more difficult for organizations to store this data and gain useful knowledge to manage their business operations and functions. A knowledge discovery process that is based on data mining methods has widely been used in business operations and management functions. This paper investigates formal concept analysis which is a powerful tool in knowledge representation and discovery and explains association rule mining based on formal concept analysis. An experimental study is given for employee selection function of HRM by using formal concept analysis method to model the qualifications of candidates which are needed for the job position. The qualifications of the candidates are modelled with concept lattices, and the qualifications of the candidates are matched with the ones determined in the job specification.