RuYu Wang

Hunan University of Finance and Economics

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Hao Liu

First Affiliated Hospital Zhejiang University

JiaWen Tang

Hunan University of Finance and Economics

Anqi Liu

Henan University of Technology

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Hunan University of Finance and Economics

First Affiliated Hospital Zhejiang University

Xi'an Polytechnic University

Changzhou University

Shandong University

Hong Kong University of Science and Technology

University of Hong Kong

Second Artillery General Hospital of Chinese People's Liberation Army

Chongqing University of Posts and Telecommunications

Zel Technologies (United States)

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Analysis of Apriori Algorithm and Its Application

Hao Liu Anqi Liu RuYu Wang JiaWen Tang

Data mining is one of the hot problems researched in the field of database in recent years. Association rule Apriori algorithm is one of the key techniques of data mining, and the principle of association rule Apriori algorithm is mainly to find out all frequent itemsets in the database and generate association rules by frequent itemsets. This paper also briefly describes the Apriori algorithm and FP-growth algorithm from different angles of analysis and research, aiming to lay the foundation for the improvement of association rule Apriori algorithm and introduce the application of Apriori algorithm in life.

GSP Algorithm

Association (psychology)

10.1109/mlccim60412.2023.00087

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