Classification of Resumes by Machine Learning Methods to Solve Complex Issues in Human Resourcing

Classification of Resumes by Machine Learning Methods to Solve Complex Issues in Human Resourcing

DEEPAK KUMAR CV,MOHAMMED JUNAID,MEGHANA R HALLIYAVAR,NAMAN KUMAR,KUSHAL P

MCA Department

RNS Institute of Technology,Bengaluru

Abstract-- Differently to the serious companies every company has a different point of view while reading through your resume, barely matching skills and experience is no more important alone. Domain expertise plays an important role for some companies or others may count the total number of skills, years as professional. HR agencies use multiple headhunting tools and online search technologies. In the database of millions and searches of data streams. By using this technology, these are automatically classified by a pre-determined machine-learning classification and the usual search methods of sorting resumes according to rank measures with high accuracy allow for better way working competence human resources.

 Index terms-Machine learning, clustering, human resourcing, hiring patters, K-means, support vector machines(SVM), association rule mining(ARM).