A kind of improved algorithm for weighted Apriori and application to data mining

In data processing of the supermarket, people often use the Apriori algorithm to analyze the customer “shopping basket” Due to the large computation, Apriori algorithm has controlled the number of frequent item sets by using the minimum supporting threshold and pruning techniques, but meaningless frequent item sets still possibly exist. Divide goods into several broad categories and set up the weighted value of categories; Then, calculate the weighted support and confidence, and do pruning and selection according to the minimum weighted support and confidence threshold to get access to the new frequent item sets and association rules and improve the efficiency of the algorithm.