IT Industry Recruiting Knowledge System
- https://doi.org/10.2991/assehr.k.210407.084How to use a DOI?
- IT industry, Data mining, CART, Cluster analysis, MARS, Human Resources Management
Professional workers are essential assets for enterprises. With the development of big data applications, mobile computing and electronic commerce, the needs of IT industry professionals are increasing. Enterprises cannot be competitive with others without recruiting, training and keeping them. Because of the need of human resources, training high-quality talents are the key success factors for IT industry. We constructed a data model framework and implement data mining techniques such as CART, cluster analysis, and MARS to explore the relationship between employee resume of basic data and their working performance for recruiting new employees by human resources department as a reference. It could help them to filter resumes and recognize the relationships between information in the resume and future performance of employees and help decision makers of human resource management to find out and choose potential highly performance employees for the enterprises.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tien Yu Huang PY - 2021 DA - 2021/04/08 TI - IT Industry Recruiting Knowledge System BT - Proceedings of the 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021) PB - Atlantis Press SP - 431 EP - 434 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210407.084 DO - https://doi.org/10.2991/assehr.k.210407.084 ID - Huang2021 ER -