•  
  •  
 

The SMU Data Science Review is a repository of SMU Masters student work in the field of data science as well as an electronic journal that promotes data-driven scientific discovery and welcomes experimental and theoretical research on advanced data science technologies and their real world applications.

See the Aims and Scope for a complete coverage of the journal.

Current Issue: Volume 6, Number 1 (2022) Spring 2022

Articles

PDF

Identifying Locations of Violent Injuries in Las Vegas to Implement the Cardiff Violence Prevention Model
Samuel VonPaays Soh, Kristi L. Herman, Chris Papesh, Tim Musgrove, and Ying Zhang

PDF

Adjusting Community Survey Data Benchmarks for External Factors
Allen Miller, Nicole M. Norelli, Robert Slater, and Mingyang N. Yu

PDF

Web Page Multiclass Classification
Brian Gaither, Antonio Debouse, and Catherine Huang

PDF

Using Hospital Bed Capacity Prediction During COVID-19 to Determine Feature Importance
Helene Barrera, Justin Ehly, Blake Freeman, Chris Papesh, and Brad Blanchard