A Deep Learning Approach for the Prediction of Retail Store Sales-Reference-Cited by-同舟云学术

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A Deep Learning Approach for the Prediction of Retail Store Sales

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
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Author:

Kaneko Yuta,Yada Katsutoshi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7836069/7836631/07836713.pdf?arnumber=7836713

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Mart Sales Analysis;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

2. A Hybrid Deep Learning Based Deep Prophet Memory Neural Network Approach for Seasonal Items Demand Forecasting;Journal of Advances in Information Technology;2024

3. A Subtle Design of Prediction Models Using Machine Learning Algorithms for Advocating Selection and Forecasting Sales of Garments: A Case Study;Lecture Notes in Networks and Systems;2024

4. On Adaptive Client/Miner Selection for Efficient Blockchain-Based Decentralized Federated Learning;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

5. Exploring the Usage of Data Science Techniques for Assessment and Prediction of Fashion Retail - A Case Study Approach;Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications;2023-08-14

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