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Forecasting Casino Gaming Traffic with a Data Mining Alternative to Croston’s Method

    Research output: Contribution to journalArticlepeer-review

    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.

    Original languageAmerican English
    JournalUNLV Gaming Research & Review Journal
    StatePublished - 1800

    Keywords

    • Croston’s method
    • R
    • gradient boosting method
    • random forest

    Disciplines

    • Gaming and Casino Operations Management

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