Electric Vehicle Marketing Planning Based on Logic Regression and Boosted Tree

DOI

10.2991/978-94-6463-005-3_73How to use a DOI?

Keywords

Sales strategy; RSR comprehensive evaluation; Logistic regression; Boosted trees; Artificial fish swarm algorithm

Abstract

This paper studies the different target requirements of electric vehicle market sales under different conditions. After cleaning the data, the rank-sum ratio comprehensive evaluation model is established to compare the satisfaction of different flat brand electric vehicles. At the same time, Logistic regression model was used to analyze the purchase of vehicles and the visibility of various factors. Establish customer mining model based on Boosted trees; finally, the artificial fish swarm algorithm is used to optimize to establish a marketing strategy selection model.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - YeYu Chai
AU  - YiTing Zhao
AU  - BaoRun Li
PY  - 2022
DA  - 2022/11/10
TI  - Electric Vehicle Marketing Planning Based on Logic Regression and Boosted Tree
BT  - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
PB  - Atlantis Press
SP  - 711
EP  - 724
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-005-3_73
DO  - 10.2991/978-94-6463-005-3_73
ID  - Chai2022
ER  -