| 摘 要: 为充分挖掘电商平台中马铃薯及其制品的销售情况，在综合分析Apriori、DHP和FP-Growth算法原理的前提下，用Python语言实现上述三种算法，结果显示FP-Growth算法性能更佳。再通过FP-Growth算法挖掘出马铃薯及其制品在电商平台中销售情况的关联规则，得到一组强关联规则记录：马铃薯及其制品的月销售量和产品品种、品牌、产地、销售价格之间存在关联规则。根据强关联规则记录分析得出消费者在电商平台中对不同产地的马铃薯及其制品的购买趋势及兴趣度，为指导马铃薯及其制品的进一步销售和种植生产提供理论依据。 |
| 关键词: 关联规则；电商平台；马铃薯及其制品；销售记录；兴趣度 |
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中图分类号: TP391
文献标识码: A
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| 基金项目: 民生科技专项基金项目；甘肃省科技计划项目(20CX9NA95). |
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| Sales Analysis of Potatoes and Their Products on E-Commerce Platform based on Association Rules |
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HUANG Yucheng1,2, WU Lili1
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( 1.College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070 China ;
2.Hunan Urban Professional College, Changsha 410137 China)
huangyu7630@sina.com; wull@gsau.edu.cn
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| Abstract: In order to fully mine the sales of potatoes and their products on E-commerce platform, this paper proposes to comprehensively analyze and implement Apriori, DHP and FP-Growth algorithms. Results show that FP-Growth algorithm has a better performance. FP-Growth algorithm is used to explore the sales association rules of the sales of potatoes and their products on the E-commerce platform, and a set of strong association rule records are obtained: the association rules between the monthly sales volume of potatoes and their products, and the product variety, brand, origin and sales price. Based on the strong association rules, consumers' purchase trend and interest in potatoes and their products from different origins on the e-commerce platform are analyzed, which provides theoretical basis for directing further sales and planting of potatoes and their products. |
| Keywords: association rules; E-commerce platform; potatoes and their products; sales records; interest |
