[Retracted] Big Data‐Based E‐Commerce Transaction Information Collection Method

Yan, Bingwen; Wu, Chunqiong; Yu, Rongrui; Yu, Baoqin; Shi, Nafang; Zhou, Xiukao; Yu, Yanliang

doi:10.1155/2021/8665621

Cited by 9 publications

(6 citation statements)

References 28 publications

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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%

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Zhang

2022

Journal of Sensors

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In order to solve the matching algorithm problem of network e-commerce platform, a method of applying BP neural network in the network e-commerce platform matching algorithm is proposed. First of all, combined with the actual situation of the platform, select 9 factors that are most in line with the company’s actual business model to influence the selection for analysis; secondly, import 60 sets of data into MATLAB software, measure the input and output data uniformly, and divide the sample data matrix into training set and test. Finally, after multiple factor combinations and verifications, it is concluded that in the training model of the five main factors, the prediction results of the model are compared with the real values. The feasibility of establishing the selection model based on BP neural network is proved. Online e-commerce platforms can refer to this model to build a product selection model that meets the needs of the platform, helping enterprises to achieve more efficient product selection work. Since the parameter initialization of the neural network is random, although the output results are different after the program runs for many times, the R2 is still stable between 0.7 and 1.0, which proves that the predicted value made by the system is highly approximate to the real value and can achieve the predicted effect.

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Section: Establishment Of Bp Neural Network Matching Methodsmentioning

confidence: 99%

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Zhang

2022

Journal of Sensors

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“…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%

Big Data Mining and Analysis of Agricultural Products Based on e-Commerce Platform

Meiling

2022

Wireless Communications and Mobile Computing

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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.

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“…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%

Evaluating the utilization of technological factors to promote e-commerce adoption in small and medium enterprises

Hossain

Dewan

Senin

et al. 2023

Electron Commer Res

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This study examined the technological factor's utilization to promote the e-commerce in small and medium sized enterprises in Bangladesh. The technological factors are, Information and communication adoption, Internet connectivity, and Business data management. The e-commerce adoption factors involve the strategic innovation, research and development activity, and Productivity growth. The electronic commerce is being widely adopted in Bangladesh in the time of covid-19 pandemic. In the adoption of e-commerce, prominent factors are the internet connectivity, which plays a major role and Business data management which has equal importance for SMEs. SMEs have limited access to data as compared to multinational industries. However, the data has equal importance for multinational and SMEs to improve the e-commerce business. The research collects data from 115 SMEs from Bangladesh relating to different fields. The random selection method has been advised to collect data from SMEs aged not less than five years. The data collected for this research is through the interested parties of small and medium sized enterprises in Bangladesh. The data of the research is interpreted and analyzed through statistical software SPSS.

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[Retracted] Big Data‐Based E‐Commerce Transaction Information Collection Method

Cited by 9 publications

References 28 publications

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Application of BP Neural Network in Matching Algorithm of Network E-Commerce Platform

Big Data Mining and Analysis of Agricultural Products Based on e-Commerce Platform

Evaluating the utilization of technological factors to promote e-commerce adoption in small and medium enterprises

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