Title
A Machine Learning Framework to Identify Employees at Risk of Wage Inequality: U.S. Department of Transportation Case Study
Document Type
Conference Proceeding
Publication Date
1-1-2019
Publication Source (Journal or Book title)
Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
Recommended Citation
Karimian, H., Rouhanizadeh, B., Jafari, A., & Kermanshachi, S. (2019). A Machine Learning Framework to Identify Employees at Risk of Wage Inequality: U.S. Department of Transportation Case Study. Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 Retrieved from https://repository.lsu.edu/construction_management_pubs/180