E-commerce Retail Merchandise Based on Optimized K-means Algorithm and Multi-model Fusion Demand Forecasting Research-Reference-Cited by-同舟云学术

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E-commerce Retail Merchandise Based on Optimized K-means Algorithm and Multi-model Fusion Demand Forecasting Research

Published:2024-05-17 Issue: Volume:07 Page:512-516
ISSN:
Container-title:Proceedings of the 2024 International Conference on Smart City and Information System
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Author:

Zhang Jingbin¹^ORCID,Zhang Yanfang²^ORCID,Tang Fan³^ORCID,Song Yuanpeng⁴^ORCID,Deng Yuanhaonan¹^ORCID,He Songlin²^ORCID

Affiliation:

1. University of Shanghai for Science and Technology, China

2. Northeastern University, China

3. Wuhan University of Science and Technology, China

4. China University of Petroleum (Beijing), China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3685088.3685178

Reference10 articles.

1. Analysis of the development trend of cross-border e-commerce between China and Vietnam based on ARIMA model [J];Li Yucui;Foreign Trade and Economic Cooperation,2023

2. LSTM-based longitudinal available overload prediction method for aircraft[J];Wanqi Zhang;Flight Mechanics,2023

3. Personal credit default risk assessment based on binary classification LR[J];Xinhua YU;Software,2020

4. Deng Li Wu Dandan Zhou Jin Optimized selection of integrated multi-parameter fire detection model for low-pressure cargo hold[J/OL]. Journal of Safety and Environment:1-11 [2023-11-02].

5. A survey of machine learning techniques for food sales prediction

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