Big Data-Based E-Commerce Transaction Information Collection Method
With the rapid development of e-commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e-commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8665621 |
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| _version_ | 1832561528881020928 |
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| author | Bingwen Yan Chunqiong Wu Rongrui Yu Baoqin Yu Nafang Shi Xiukao Zhou Yanliang Yu |
| author_facet | Bingwen Yan Chunqiong Wu Rongrui Yu Baoqin Yu Nafang Shi Xiukao Zhou Yanliang Yu |
| author_sort | Bingwen Yan |
| collection | DOAJ |
| description | With the rapid development of e-commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e-commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can be mined, such as the defects of products and the actual needs of users. In view of the existing e-commerce transaction information collection method is not mature, in this paper, the electric business platform system architecture planning and design increases the function management module. In this paper, a new Naive Bayes model is established by using HBase distributed database instead of traditional database. Based on the optimization and extraction of the important transaction information in the product, the dataset of e-commerce transaction information is updated. Through the efficiency test of the collection method, the information scalability ability test, and the accuracy test, the important context was sorted out after integration, the sources of trading information were sorted out, and the data analysis of the collected information was conducted to optimize the information collection method and verify the feasibility of the method. |
| format | Article |
| id | doaj-art-c9842f58745f4ee5bb8345b5dc5e7baf |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-c9842f58745f4ee5bb8345b5dc5e7baf2025-02-03T01:24:49ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/86656218665621Big Data-Based E-Commerce Transaction Information Collection MethodBingwen Yan0Chunqiong Wu1Rongrui Yu2Baoqin Yu3Nafang Shi4Xiukao Zhou5Yanliang Yu6Business College, Yango University, Fuzhou 350015, Fujian, ChinaBusiness College, Yango University, Fuzhou 350015, Fujian, ChinaBusiness College, Yango University, Fuzhou 350015, Fujian, ChinaBusiness College, Yango University, Fuzhou 350015, Fujian, ChinaBig Data Business Intelligence Engineering Research Center of Fujian University, Fuzhou 350015, Fujian, ChinaBusiness College, Yango University, Fuzhou 350015, Fujian, ChinaBusiness College, Yango University, Fuzhou 350015, Fujian, ChinaWith the rapid development of e-commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e-commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can be mined, such as the defects of products and the actual needs of users. In view of the existing e-commerce transaction information collection method is not mature, in this paper, the electric business platform system architecture planning and design increases the function management module. In this paper, a new Naive Bayes model is established by using HBase distributed database instead of traditional database. Based on the optimization and extraction of the important transaction information in the product, the dataset of e-commerce transaction information is updated. Through the efficiency test of the collection method, the information scalability ability test, and the accuracy test, the important context was sorted out after integration, the sources of trading information were sorted out, and the data analysis of the collected information was conducted to optimize the information collection method and verify the feasibility of the method.http://dx.doi.org/10.1155/2021/8665621 |
| spellingShingle | Bingwen Yan Chunqiong Wu Rongrui Yu Baoqin Yu Nafang Shi Xiukao Zhou Yanliang Yu Big Data-Based E-Commerce Transaction Information Collection Method Complexity |
| title | Big Data-Based E-Commerce Transaction Information Collection Method |
| title_full | Big Data-Based E-Commerce Transaction Information Collection Method |
| title_fullStr | Big Data-Based E-Commerce Transaction Information Collection Method |
| title_full_unstemmed | Big Data-Based E-Commerce Transaction Information Collection Method |
| title_short | Big Data-Based E-Commerce Transaction Information Collection Method |
| title_sort | big data based e commerce transaction information collection method |
| url | http://dx.doi.org/10.1155/2021/8665621 |
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