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Full-Text Articles in Computer Engineering
Data Mining The Harness Track And Predicting Outcomes, Robert P. Schumaker
Data Mining The Harness Track And Predicting Outcomes, Robert P. Schumaker
Journal of International Technology and Information Management
This paper presented the S&C Racing system that uses Support Vector Regression (SVR) to predict harness race finishes and analyzed it on fifteen months of data from Northfield Park. We found that our system outperforms the most common betting strategies of wagering on the favorites and the mathematical arbitrage Dr. Z system in five of the seven wager types tested. This work would suggest that an informational inequality exists within the harness racing market that is not apparent to domain experts.
An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
Theses Digitization Project
For this project, a comprehensive literature review on high dimensional data clustering is conducted and a novel density-algorithm to perform high dimensional data clustering is developed.