Analysis and research of retail customer consumption behavior based on support vector machine-Reference-Cited by-同舟云学术

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Analysis and research of retail customer consumption behavior based on support vector machine

Published:2023-10-27 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA)
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Author:

Li Xingyan¹,Ye Weile²,Zou Miaojie³,Guo Fusen⁴,Huang Zhixing⁵

Affiliation:

1. Monash University,Faculty of Information Technology,Clayton,VIC,Australia

2. New York University,College of Arts & Science,New York,US

3. Monash University Malaysia,School of Business,Selangor,Malaysia

4. Deakin University,School of Information Technology,VIC,Australia

5. Monash University,Monash Business School,Caulfield East,VIC,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391852/10392291/10392779.pdf?arnumber=10392779

Reference15 articles.

1. Insights into cross- and within-store price search: retailer estimates vs. consumer self-reports

2. Personal characteristics as moderators of the relationship between customer satisfaction and loyalty?an empirical analysis

3. Support vector machine theory and programming based neural network learning algorithm;Zhang;Journal of Computer science,2003

4. The relationship between kernel function based machine and three-layer forward psychic network;Zhang;Journal of Computer science,2002

5. Maximum frequent item set mining and updating algorithm based on FP-Tree;Song;Journal of Software,2021

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