Association Rule Mining:A Survey
Jia Cai
Abstract
Jia Cai
Abstract
Association rule mining has been one of the most popular data mining subejcts and has a wide range of applicability. In this paper, we first investigate the main approaches for the task of association rule mining, and analyzed the essence of the algorithms. Then we review foundations of assocation rule mining based on the several possible theoretical frameworks for data mining. What's more,we show the open problems in field of the association rule mining and figure out the tendency of its development in recent years.
OpenAlex reports 122 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Association rule mining has been one of the most popular data mining subejcts and has a wide range of applicability. In this paper, we first investigate the main approaches for the task of association rule mining, and analyzed the essence of the algorithms. Then we review foundations of assocation rule mining based on the several possible theoretical frameworks for data mining. What's more,we show the open problems in field of the association rule mining and figure out the tendency of its development in recent years.
Key concepts: Association rule learning, Computer science, Data mining, Field (mathematics), K-optimal pattern discovery, Data science, Range (aeronautics), Association (psychology)