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Publications

Journals

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. 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. 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.

Under Review

Schumaker, R., Machine Learning the Harness Track: A Temporal Investigation of Race History on Prediction. Journal of International Technology and Information Management.

Papers In Progress

Labedz Jr., C., Jarmoszko, A. T., Schumaker, R. and Freeman, D., Role of Contingency Analysis in Tactical Team Structure and Competition in Soccer. TBD.

Labedz Jr., C. and Schumaker, R., RXIM: The “Right Eleven” Roster Model of Association Football. International Conference of the System Dynamics Society.

Schumaker, R., Labedz Jr., C. and Jarmoszko, A. T., Factors of Soccer Success – An Analysis of World Cup 2014 Goals. TBD.

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