Prediction of Tariff Package Model Using ROF-LGB Algorithm-Reference-Cited by-同舟云学术

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Prediction of Tariff Package Model Using ROF-LGB Algorithm

Published:2019-07-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 2nd International Conference on Data Science and Information Technology
language:
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Author:

Zheng NaiSong¹,Jiang XiaoWei¹,Ao Yibo²,Zhao Xi³

Affiliation:

1. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China

2. School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

3. School of Management, Xi'an Jiaotong University, Xi'an, China, The Key Lab of the Ministry of Education for process control & Efficiency Engineering, Xi'an, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3352411.3352421

Reference10 articles.

1. Customer churn prediction in telecommunications

2. A comparison of machine learning techniques for customer churn prediction

3. The New Model of Customer Segmentation in Postal Enterprises

4. Operator choice in the mobile telecommunications market: Evidence from Turkish urban population

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1. A Time Series Combined Forecasting Model Based on Prophet-LGBM;2021 2nd International Conference on Artificial Intelligence and Information Systems;2021-05-28

2. Prediction of Soil-Available Potassium Content with Visible Near-Infrared Ray Spectroscopy of Different Pretreatment Transformations by the Boosting Algorithms;Applied Sciences;2020-02-23

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