Research on Weighted Association Rules Mining Algorithm for the Medical Internet of Things Information Based on Fuzzy Numerical Constraints

With the wide application of network communication technology and automatic data acquisition tools, the automation level of the medical service industry is getting higher. A weighted association rule mining algorithm supporting fuzzy numerical constraints (FQC wed Apriori algorithm) is proposed. Firstly, the association rules between transactions in the database are found. Moreover, the fuzzy association rules are mined by the fuzzy query. What' s more, the frequent itemsets are found combined with the improved weighted association rule algorithm, which can discover the associated information in the process of medical service and evaluate the effectiveness of the mining algorithm effectively.