| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 4 | |
| Section | Big Data Analysis Application and Energy Consumption Research | |
| DOI | https://doi.org/10.1051/e3sconf/202021401040 | |
| Published online | 07 December 2020 | |
Possible Method for Customer Segmentation in Bath Center Based on Neural Net
School of Mathematical Sciences Dalian University of Technology Dalian City, China
With the coming of data era, even small business has ability to collect and store abundant data, which means doing customer segmentation based on data, instead of experience, is possible. This paper chooses a developing business in Chin—bath center, to make customer segmentation with data. In this research, neural net is used to deal with the distance to fit more with the true psychological distance and create the distance score to get more information from the variables about coming of the customers. Possible formula of distance score is also given as a reference. The distance score turns out to be a better measure of the psychological distance and the neural net has a better graph of the distance data than other methods. This paper gives a possible method for customer segmentation in a completely new business area.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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