Food sales data mining analysis method based on big data

The invention relates to the technical field of data processing, in particular to a food sales data mining analysis method based on big data, which comprises the following steps: according to a set confidence threshold and a sales cycle, performing data mining on food sales data to obtain a data mining result; obtaining an association rule set of each kind of food in each sales cycle and a confidence coefficient of each association rule in the association rule set; performing data processing according to the price of each food in each sales cycle, each association rule in the association rule set and the confidence thereof to obtain a dynamic adjustment parameter of each food in each sales cycle, and then adjusting a confidence threshold to obtain an adjusted confidence threshold; and based on the adjustment confidence threshold, performing data mining on the food sales data to obtain a final association rule set. By using the data processing technology, the influence of price factors on the food association