Forecasting covid-19 cases using time series modeling and association rule mining

HIGHLIGHTS

  • who: Rachasak Somyanonthanakul from the (UNIVERSITY) have published the paper: Forecasting COVID-19 cases using time series modeling and association rule mining, in the Journal: (JOURNAL) of 26/03/2020
  • what: The aim of this study was to evaluate the most effective combination of autoregressive integrated moving average (ARIMA) a time series model and association rule mining (ARM) techniques to identify meaningful prognostic factors and predict the number of cases for efficient COVID-19 crisis management. This study demonstrated that the ARIMAX model has the potential to predict the number of COVID19 cases by incorporating . . .

     

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