2021
DOI: 10.1155/2021/8665621
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[Retracted] Big Data‐Based E‐Commerce Transaction Information Collection Method

Abstract: 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 sys… Show more

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Cited by 10 publications
(6 citation statements)
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“…Model. As mentioned above, the most important and core task of using BP neural network for feature point matching is to establish an ideal network model that can correctly reflect the mapping relationship between platform feature point sets [20]. The matching method based on BP neural network includes three parts: sample classification and processing, the design of BP neural network topology, and the design of matching constraint criteria.…”
Section: Establishment Of Bp Neural Network Matching Methodsmentioning
confidence: 99%
“…Model. As mentioned above, the most important and core task of using BP neural network for feature point matching is to establish an ideal network model that can correctly reflect the mapping relationship between platform feature point sets [20]. The matching method based on BP neural network includes three parts: sample classification and processing, the design of BP neural network topology, and the design of matching constraint criteria.…”
Section: Establishment Of Bp Neural Network Matching Methodsmentioning
confidence: 99%
“…Then, a two-dimensional array is constructed with row values as transaction sets and columns as transaction item sets, and the column values that do not meet the minimum support number are deleted. Reduce the size of the two-dimensional array and the number of transaction items in the transaction database s, so as to reduce the I/O times when scanning the database during iteration, so as to save time [24].…”
Section: Results and Analysismentioning
confidence: 99%
“…In small firms, where data is limited and the scope is also limited, there is a dire need for R&D [29]. A study conducted by Yan et al [66] shows the acquisition technology of transactional information has strong impact on the accurate collection of data for small and medium sized enterprises working over e-commerce platforms.…”
Section: Discussionmentioning
confidence: 99%