Topic: Mining Inter-Transaction Associations to Enhance Customer  Purchase Prediction in Retail

Dipika S Patel,Dr. Hitesh Raval

Topic: Mining Inter-Transaction Associations to Enhance Customer Purchase Prediction in Retail

Authors

Dipika S Patel,Dr. Hitesh Raval

Keywords:

Abstract

The secret to improving the customer interaction, inventory management and sales in the highlycompetitive retailing environment is purchase forecasting. Traditional predictive models arelargely single and transactional and therefore

References

Alshingiti, Z., Alaqel, R., Al-Muhtadi, J., Haq, Q.E.U., Saleem, K. and Faheem, M.H. (2023). A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN. Electronics, 12(1), p.232. doi:https://doi.org/10.3390/electronics12010232.

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Published

2024-10-15

How to Cite

Dipika S Patel,Dr. Hitesh Raval. (2024). Topic: Mining Inter-Transaction Associations to Enhance Customer Purchase Prediction in Retail . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 6172–6191. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3651