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Article
Forecasting Casino Gaming Traffic with a Data Mining Alternative to Croston’s Method
UNLV Gaming Research & Review Journal
  • Barry E. King, Butler University
Keywords
  • Croston’s method,
  • gradient boosting method,
  • random forest,
  • R
Document Type
Original Research Article
Abstract

Other researchers have used Croston’s method to forecast traffic at casino game tables. Our data mining alternative to Croston’s method more accurately forecasts gaming traffic using the rich databases that are frequently available at casinos. A more accurate forecast will allow for better planning of staffing on the casino floor.

Citation Information
Barry E. King. "Forecasting Casino Gaming Traffic with a Data Mining Alternative to Croston’s Method"
Available at: http://works.bepress.com/barry_king/14/