FP-Growth algorithm-based medicine enterprise tax-related risk identification method

The invention discloses a pharmaceutical enterprise tax-related risk identification method based on an FP-Growth algorithm. The method comprises the steps of 1, collecting tax-related warehousing declaration data and resident medical insurance consumption data of a tax-related pharmaceutical enterprise; 2, preprocessing the two parts of data obtained in the step 1 to obtain an associated original data set; 3, performing logic binary conversion on the associated original data set obtained in the step 2 to obtain a coded data set D required by the FP-Growth algorithm; step 4, implementing an FP-Growth algorithm on the coded data set D to obtain a k-frequent item set; step 5, obtaining a corresponding frequent rule according to the k-frequent item set obtained in the step 4; and step 6, performing business layer interpretation and visualization on the frequent rules in each obtained frequent rule set to obtain tax-related key clues under given minimum support degree and minimum confidence degree. By using the me