Research on Classification of Railway Freight Customers Based on Customer Value Analysis

DOI

10.2991/978-94-6463-270-5_3How to use a DOI?

Keywords

Railway freight transportation; customer segmentation; K-Means Algorithm

Abstract

Customer segmentation can divide the existing customers of an enterprise into different customer groups according to certain standards, and the research on customer segmentation based on customer value has important theoretical and practical significance. Based on the huge customer data accumulated by freight railways, a customer value segmentation model based on improved K-Means algorithm is proposed. Firstly, the dimensions and indicators of customer segmentation are determined, and then the K-Means algorithm is designed and improved based on the customer segmentation framework. Experiments show that the model has good classification effect, and it has obvious practical significance to apply it to railway freight marketing.

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  - Yang Yi
AU  - Huang Lei
PY  - 2023
DA  - 2023/10/29
TI  - Research on Classification of Railway Freight Customers Based on Customer Value Analysis
BT  - Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)
PB  - Atlantis Press
SP  - 19
EP  - 26
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-270-5_3
DO  - 10.2991/978-94-6463-270-5_3
ID  - Yi2023
ER  -