Predicting the point spread in professional basketball in real time: a data snapshot approach

Autor:	Alison Watkins, Varol O. Kayhan
Rok vydání:	2019
Předmět:	Point spread Basketball Computer science Snapshot (computer storage) Real time prediction Data science Industrial and Manufacturing Engineering Information Systems Management Information Systems
Zdroj:	Journal of Business Analytics. 2:63-73
ISSN:	2573-2358 2573-234X
Popis:	Predicting the point spread of a professional basketball game is difficult but important for many stakeholders. We propose a new approach to predict the point spread in real time using in-g...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4d60b82662a57bb3e3e6eb763d911536 https://doi.org/10.1080/2573234x.2019.1625730 Zobrazit plný text záznamu