An approach to improve the efficiency of apriori algorithm
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Abstract
Association rule mining has a great importance in data mining. Apriori is the key algorithm in association rule mining. Many approaches are proposed in past to improve Apriori but the core concept of the algorithm is same i.e. support and confidence of item sets and previous studies finds that classical Apriori is inefficient due to many scans on database. In this paper, we are proposing a method to improve Apriori algorithm efficiency by reducing the database size as well as reducing the time wasted on scanning the transactions.
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2015. An approach to improve the efficiency of apriori algorithm. PeerJ PrePrints 3:e1159v1 https://doi.org/10.7287/peerj.preprints.1159v1Author comment
This is a research article in field of association rule mining. Work is done to improve Apriori algorithm.
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Sakshi Aggarwal conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, performed the computation work.
Ritu Sindhu reviewed drafts of the paper.
Funding
The authors received no funding for this work.