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- Title
Big Data Mining and Analysis of Agricultural Products Based on e-Commerce Platform.
- Authors
Meiling, Hu
- Abstract
Solve the problem of agricultural product big data mining based on e-commerce platform, meet the needs of e-commerce development to agricultural products, meet the diversified needs of e-commerce platforms, and improve people's living standards and convenience. According to 1000 online questionnaires, 866 people believe that e-commerce can bring them convenience, and 134 people believe that the convenience is insufficient. Even agricultural products, as a traditional primary industry, have begun to be "involved" in the sales mode of e-commerce platforms. In the face of the increasingly huge online consumer demand market, the agricultural product economy has redisplayed a strong market vitality. Of course, the huge market base also makes the e-commerce model of agricultural products pay attention to big data mining and analysis. This paper focuses on how to carry out big data mining and analysis of agricultural products more efficiently from the technical level. Therefore, the agricultural product user data mining technology of e-commerce platform based on Hadoop is proposed. Through the intervention of association rule analysis and algorithm, the improvement of relevant algorithms and agricultural products user behavior analysis system under e-commerce platform based on Hadoop is proposed. The results show that the system can realize the analysis of commodity association degree under various agricultural products user behavior modes and can better help the e-commerce platform of agricultural products realize precision marketing.
- Subjects
FARM produce; DATA mining; AGRICULTURAL technology; DATA analysis; ELECTRONIC commerce; AGRICULTURAL forecasts; BEHAVIORAL assessment; BIG data
- Publication
Wireless Communications & Mobile Computing, 2022, Vol 2022, p1
- ISSN
1530-8669
- Publication type
Article
- DOI
10.1155/2022/1730934