Customer mobile behavioral segmentation and analysis in telecom using machine learning
This study aims to identify telecom customer segments by utilizing machine learning and subsequently develop a web-based dashboard. The dashboard visualizes the cluster analysis based on demographics, behavior, and region features. The study applied analytic pipeline that involved five stages i.e. d...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Taylor and Francis
2021
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/96586/ https://www.tandfonline.com/doi/full/10.1080/08839514.2021.2009223 |
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