Data Mining the Harness Track and Predicting Outcomes

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 mathe...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of international technology and information management 2013-02, Vol.22 (2), p.103-108
1. Verfasser:	Schumaker, Robert P
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Arbitrage Awards & honors Data mining Decision making Engineering research Gambling Horse racing Information systems Machine learning Methods Prediction markets Predictions Racing Regression analysis Sports betting Studies Subject specialists Support vector machines Technology application Variables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!