TITLE:
Research and Case Analysis of Apriori Algorithm Based on Mining Frequent Item-Sets
AUTHORS:
Haoyu Xie
KEYWORDS:
Apriori Algorithm, Algorithm Examples And Applications, Association Rules, Data Mining
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.9 No.4,
April
29,
2021
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.