期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：23
语种：English
出版社：Journal of Theoretical and Applied
摘要：With the increasing growth of data in the world of business and companies, the amount of data resulting from sales operations in these companies increases, and there is no doubt that the presence of this data is a treasure. Through analyzing this data, unusual results can be reached that help decision-makers improve the profit process for these companies. We use in this research paper real data taken for the sales operations of Emisal company, which is located in Egypt and works on the sale of salts products during 2020 and four years back. Data mining technology is used in this paper, especially the apriori algorithm to explore the relationships between returns and the item, and the customer, and the month, and the day of the week, and the province. The results recommend eliminating the scenarios that may occur between the causes of return and the relationship with the item, customer, month, day of the week, and maintaining future sales.
