Employee assessment using data mining techniques: modeling individual capability to improve the competency of companies

EasyChair Preprint 651

Abstract

This paper presents an applying of data mining technique in analyzing the assessment result of staff from big company in Thailand. The study used data mining algorithms with simulator tool in Rapid Miner to model discovered information into three aspects; firstly, the study did a comparison of three algorithms in terms of accuracy and speed. Secondly, the paper presented a modelling of discovered information from three algorithms. Finally, the paper suggested the appropriated model and data visualized tool for HR in monitoring and adjusting for human resource planning and developing.

Keyphrases: Data Mining, Decisions tree, Generalized Linear Model, Naïve Bayes, Rapid Miner, and Deep Learning, individual capacity

@booklet{EasyChair:651,
  author    = {Prajak Chertchom},
  title     = {Employee assessment using data mining techniques: modeling individual capability to improve the competency of companies},
  howpublished = {EasyChair Preprint 651},
  year      = {EasyChair, 2018}}