An Extensive Survey on Association Rule Mining Algorithms
Mihir R. Patel, Dipak Dabhi
Abstract
Mihir R. Patel, Dipak Dabhi
Abstract
Association rule mining (ARM) aims at extraction, hidden relation, and interesting associations between the existing items in a transactional database. The purpose of this study is to highlight fundamental of association rule mining, association rule mining approaches to mining association rule, various algorithm and comparison between algorithms.
OpenAlex reports 1 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 (ARM) aims at extraction, hidden relation, and interesting associations between the existing items in a transactional database. The purpose of this study is to highlight fundamental of association rule mining, association rule mining approaches to mining association rule, various algorithm and comparison between algorithms.
Key concepts: Association rule learning, Data mining, Association (psychology), Computer science, Apriori algorithm, Relation (database), K-optimal pattern discovery, Algorithm