Research and Case Analysis of Apriori Algorithm Based on Mining Frequent Item-Sets

Abstract

In the background of the information age, the importance of data resources can be imagined, and the importance of the use of data resources means—data mining has also emerged. In the current situation, all industries are in a relatively equal stage, should make good use of data resources, use Apriori algorithm to mine association rules, formulate marketing strategies, promote sales growth and slow down the loss of national GDP. Countries can also use data mining to make predictions and support decisions. Briefly describe the basic concepts of data mining and association rules. Only with a basic understanding of data mining and association rules can we better understand the Apriori algorithm, why it is one of the most classic and influential algorithms. Understanding its essence and function, and suggesting suggestions for improvement by analyzing the ideas of the Apriori algorithm, understanding its process, advantages and disadvantages, and through the data collected from a supermarket in Bozhou City, Anhui Province, China; and understanding the application of the algorithm in the field of e-commerce and universities, and the effect it will achieve.