SMU Data Science Review
Volume 1, Number 3 (2018)
Articles
Cryptocurrency Price Prediction Using Tweet Volumes and Sentiment Analysis
Jethin Abraham, Daniel Higdon, John Nelson, and Juan Ibarra
The Resource Allocation Optimization Problem for Cloud Computing Environments
Victor Yim and Colin Fernandes
Yelp’s Review Filtering Algorithm
Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, and Daniel W. Engels
Identifying Areas for Change: A Case Study on North Carolina State Public School Performance
Olivia Leeson, Kelly Bean, and Jacob Drew
Enhancing Trust in the Cryptocurrency Marketplace: A Reputation Scoring Approach
Dan Freeman, Tim McWilliams, Sudip Bhattacharyya, Craig Hall, and Pablo Peillard
Minimizing the Perceived Financial Burden Due to Cancer
Hassan Azhar, Zoheb Allam, Gino Varghese, Daniel W. Engels, and Sajiny John
Predicting National Basketball Association Success: A Machine Learning Approach
Adarsh Kannan, Brian Kolovich, Brandon Lawrence, and Sohail Rafiqi
Text Enhanced Recommendation System Model Based on Yelp Reviews
Peter Kouvaris, Ekaterina Pirogova, Hari Sanadhya, Albert Asuncion, and Arun Rajagopal
Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets
Kaitlin Kirasich, Trace Smith, and Bivin Sadler
Fake News Detection: A Deep Learning Approach
Aswini Thota, Priyanka Tilak, Simrat Ahluwalia, and Nibrat Lohia
Opencrimemapping.org: An Online Tool for Visualizing Crime
Michael Crowder, Lauren Darr, Gerardo Garza, and Brent Allen
Overcoming Small Data Limitations in Heart Disease Prediction by Using Surrogate Data
Alfeo Sabay, Laurie Harris, Vivek Bejugama, and Karen Jaceldo-Siegl
Unintended Consequences of Location Information: Privacy Implications of Location Information Used in Advertising and Social Media
Alice Karanja, Daniel W. Engels, Ghizlane Zerouali, and Ariel Francisco
