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Data mining of Chain convenience stores location

Yingfeng Shi

Yingfeng Shi

Jiangsu Vocational Institute of Commerce JiangSuChina
Suche nach diesem Autor auf
Sciendo|Google Scholar
Shi, Yingfeng
 und 
Xiuchen Chen

Xiuchen Chen

Jiangsu Vocational Institute of Commerce JiangSuChina
Suche nach diesem Autor auf
Sciendo|Google Scholar
Chen, Xiuchen
  
31. Mai 2022
Data mining of Chain convenience stores location's Cover Image
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Online veröffentlicht: 31. Mai 2022
Seitenbereich: 2377 - 2392
Eingereicht: 18. Jan. 2022
Akzeptiert: 27. März 2022
DOI: https://doi.org/10.2478/amns.2021.2.00200
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© 2023 Yingfeng Shi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Process of data mining
Process of data mining

Fig. 2

Result of feature selection in caret package
Result of feature selection in caret package

Fig. 3

Result of feature selection in Boruta package
Result of feature selection in Boruta package

Fig. 4

Neural network structure with 1 hidden layer
Neural network structure with 1 hidden layer

Fig. 5

Shows a neural network structure with 2 hidden layers
Shows a neural network structure with 2 hidden layers

Fig. 6

Modelling results of logistic regression based on three evaluation systems
Modelling results of logistic regression based on three evaluation systems

Fig. 7

Accuracy of neural network model
Accuracy of neural network model

Fig. 8

Structure diagram of neural network with the best performance
Structure diagram of neural network with the best performance

Fig. 9

Accuracy of support vector machine model
Accuracy of support vector machine model

Fig. 10

Modelling results of multiple classification algorithms (by the date of Nanjing)
Modelling results of multiple classification algorithms (by the date of Nanjing)
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