Fecha de publicación: 22/03/2024 Fuente: Wipo "BigData" The invention discloses a cigarette market grid capacity rationality prediction method and system based on big data. The method comprises the steps of business district definition, business district external expansion mode, data preprocessing, cigarette market grid capacity prediction, evaluation and cigarette market grid capacity rationality prediction. The invention belongs to the technical field of big data analysis, and particularly relates to a big-data-based cigarette market grid capacity rationality prediction method and system.According to the scheme, business district data except a tobacco database is introduced, intelligent strategies are driven according to data of different subdivided markets, customized marketing strategies are generated, intelligent and accurate cigarette putting is achieved, and the cigarette market grid capacity rationality prediction method and system based on big data are provided. An integrated learning algorithm combining ARIMA, Holt-Winters and RF is adopted, and the advantages of ARIMA, Holt-Winters and RF are combined to improve the prediction accuracy and stability of the model.