Characterization of Syrian refugees with work permit applications in Turkey: A data mining based methodology
作者：
Highlights：
• Dataset includes Syrian refugees in Turkey between years 2010–2018.
• A novel and integrated data mining-based methodology is proposed.
• Refugee profiles are extracted with Self-Organizing Map and Hierarchical Clustering.
• Refugee profiles are characterized with Decision Tree and Association Rule Mining.
• Female refugees with bachelor’s degree work in service sector (cleaning, etc.).
摘要
•Dataset includes Syrian refugees in Turkey between years 2010–2018.•A novel and integrated data mining-based methodology is proposed.•Refugee profiles are extracted with Self-Organizing Map and Hierarchical Clustering.•Refugee profiles are characterized with Decision Tree and Association Rule Mining.•Female refugees with bachelor’s degree work in service sector (cleaning, etc.).
论文关键词：Data mining,Self-organizing maps,Decision tree,Association rule mining,Syrian refugees
论文评审过程：Received 31 July 2020, Revised 1 February 2021, Accepted 2 March 2021, Available online 11 March 2021, Version of Record 15 May 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114846
