Journals
Schumaker, R., (2018). Machine Learning the Harness Track: A Temporal Investigation of Race History on Prediction. Journal of International Technology and Information Management. 27(2)
Labedz Jr, C. and Schumaker, R., (2018). What do Publicly Available Soccer Match Data Actually Tell Us. Communications of the International Information Management Association. 16(3)
Schumaker, R., Labedz Jr., C., Brown, L. and Jarmoszko, A. T., (2017). Prediction from Regional Angst – A Study of NFL Sentiment in Twitter Using Stock Market Charting. Decision Support Systems. 98(6):80-88
Schumaker, R., Jarmoszko, A. T. and Labedz Jr., C., (2016). Predicting Wins and Spread in the Premier League Using a Sentiment Analysis of Twitter. Decision Support Systems. 88(8):76-84
Schumaker, R., (2013). Data Mining the Harness Track and Predicting Outcomes. Journal of International Technology and Information Management. 22(2):103-107
Schumaker, R., (2013). Machine Learning the Harness Track- Crowdsourcing and Varying Race History. Decision Support Systems. 54(3):1370-1379
Schumaker, R., Solieman, O. and Chen, H., (2009). Sports Knowledge Management and Data Mining. Annual Review of Information Science and Technology. 44
Schumaker, R. and Johnson, J., (2008). An Investigation of SVM Regression to Predict Longshot Greyhound Races. Communications of the International Information Management Association. 8(2):67-82
Conferences
Lopez, H., Perkins, M., Odin, K., Webb, D. and Schumaker, R., (2016). Prediction from Fanbase Opinions – A Study of the League of Legends Community on Twiiter. 27th Annual Conference of the International Information Management Association (IIMA-2016). September 2016. Taipei, Taiwan
Spillman, J., Bustamante, G., Hopkins, T. and Schumaker, R., (2016). Predicting the Outcomes of the 2016 NCAA March Madness Mens Tournament Brackets – A Study of Fan Twitter Sentiment. 27th Annual Conference of the International Information Management Association (IIMA-2016). September 2016. Taipei, Taiwan
Labedz Jr., C., Schumaker, R., Jarmoszko, A. T. and Freeman, D., (2015). Two Subsystems of Eleven Elements: System Dynamics and Other Approaches in Modeling Association Football. International Conference of the System Dynamics Society. July 2015. Cambridge, MA
Schumaker, R., (2011). Using SVM Regression to Predict Harness Races- A One Year Study on Northfield Park. Midwest Decision Sciences Institute Conference (Midwest DSI). May 2011. Indianapolis, IN
Schumaker, R. and Johnson, J., (2008). An Investigation of SVM Regression to Predict Longshot Greyhound Races. 19th Annual Conference of the International Information Management Association (IIMA-2008). October, 2008. San Diego, CA
Books
Schumaker, R., Solieman, O. and Chen, H., (2010). Sports Data Mining- Uncovering New Knowledge and Performance Measures. New York- Springer
Posters and Demonstrations
Jarmoszko, A. T., Labedz Jr., C. and Schumaker, R., (2016). Toward a Model of Collective Intelligence of Sporting Teams – Examining Data from the 2014 Soccer World Cup. Collective Intelligence, June 2016. New York, NY.
Schumaker, R., Jarmoszko, A. T., Labedz Jr., C. and Freeman, D., (2015). Predicting Premier League Soccer Using a Sentiment Analysis of Twitter. MIT Sloan Sports Analytics Conference, February 2015. Boston, MA.