SMU Data Science Review
Volume 1, Number 2 (2018)
Articles
Machine Learning to Predict College Course Success
Anthony R.Y. Dalton, Justin Beer, Sriharshasai Kommanapalli, and James S. Lanich Ph.D.
On Identifying Factors Affecting Ethical Practices in Data Science Domains
yanqin wang, Earl Shaw, Brian Kruse, and Mehdi Ghods
Cryptovisor: A Cryptocurrency Advisor Tool
matthew baldree, paul widhalm, brandon hill, and matteo ortisi
Evaluating Feasibility of Blockchain Application for DSCSA Compliance
Tracie Scott, Armand L. Post, Johnny Quick, and Sohail Rafiqi
Supervised Machine Learning Bot Detection Techniques to Identify Social Twitter Bots
Phillip George Efthimion, Scott Payne, and Nicholas Proferes
Predicting Game Day Outcomes in National Football League Games
Josh Klein, Anna Frowein, and Chris Irwin
Data Scientist’s Analysis Toolbox: Comparison of Python, R, and SAS Performance
Jim Brittain, Mariana Cendon, Jennifer Nizzi, and John Pleis
A Survey of Autism Spectrum Disorder Friendly Websites
Brian Yu, Michael Murrietta, Angela Horacek, and Jacob Drew
Predictions Generated from a Simulation Engine for Gene Expression Micro-arrays for use in Research Laboratories
Gopinath R. Mavankal, John Blevins, Dominique Edwards, Monnie McGee, and Andrew Hardin
Data Center Application Security: Lateral Movement Detection of Malware using Behavioral Models
Harinder Pal Singh Bhasin, Elizabeth Ramsdell, Albert Alva, Rajiv Sreedhar, and Medha Bhadkamkar
Fuel Flow Reduction Impact Analysis of Drag Reducing Film Applied to Aircraft Wings
Damon Resnick, Chris Donlan, Nimish Sakalle, and Cody Pinkerman
Goalie Analytics: Statistical Evaluation of Context-Specific Goalie Performance Measures in the National Hockey League
Marc Naples, Logan Gage, and Amy Nussbaum
Stack Overflow Question Retrieval System
Vishi Cline, Abhishek Dharwadkar, Rajni Goyal, Daniel Engels, Raghuram Srinivas, and Sohail Rafiqi
