Stduy on an improved apriori algorithm and its application in supermarket
Lu Lin, Peiqi Liu
Abstract
Lu Lin, Peiqi Liu
Abstract
Apriori algorithm is a classical mining algorithm uses the association rules. After analyzing the Apriori algorithm, this algorithm is inefficient due to it scans the database many times. Based on the strategy of accessing to database once, a new improved algorithm founded on the Apriori is put forward in this paper. Experiments show that it can significantly improve computation efficiency, i e reduce the calculatin time and space. This algorithm has been widely used for supermarkets in customer consumer knowledge mining.
OpenAlex reports 2 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.
Apriori algorithm is a classical mining algorithm uses the association rules. After analyzing the Apriori algorithm, this algorithm is inefficient due to it scans the database many times. Based on the strategy of accessing to database once, a new improved algorithm founded on the Apriori is put forward in this paper. Experiments show that it can significantly improve computation efficiency, i e reduce the calculatin time and space. This algorithm has been widely used for supermarkets in customer consumer knowledge mining.
Key concepts: Apriori algorithm, Association rule learning, GSP Algorithm, Computer science, A priori and a posteriori, Data mining, Computation, Affinity analysis