Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior
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Published:2024-01-29
Issue:1
Volume:5
Page:100-113
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ISSN:2723-6471
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Container-title:Journal of Applied Data Sciences
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language:
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Short-container-title:J. Appl. Data Sci.
Publisher
Bright Publisher
Cited by
1 articles.
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1. Prediction of User Behavior in International Trade E-commerce: Application of LSTM Algorithm;2024 International Conference on Machine Intelligence and Digital Applications;2024-05-30