Analysis of transaction patterns at drug store with Apriori Algorithm

Abstract Data mining is a method for finding hidden data from big data which has been continuously applied in various fields such as marketing, education, bioinformatics and so on. Drug store is one of the business sectors that might take the advantage of the data mining. In the drug store, there is...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1869; no. 1; p. 12070
Main Authors Kusumo, H, Marlina, D, Novita, M, Anwar, M T
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2021
Subjects
Algorithms
Big Data
Bioinformatics
Data mining
Drug stores
Physics
Sales
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Summary:Abstract Data mining is a method for finding hidden data from big data which has been continuously applied in various fields such as marketing, education, bioinformatics and so on. Drug store is one of the business sectors that might take the advantage of the data mining. In the drug store, there is a sales transaction data which contains a big number of data. However, there is a limited number of analysis based on this sales transaction data. There are several information that can be obtained from this big data; one of them is the combination of items that consumers often buy. Apriori Algorithm is a data mining method that has been widely used in order to determine the combinations of frequently purchased products. By using the Apriori Algorithm in the sales transaction data of the drug store.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1869/1/012070