Research Article
Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach
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@INPROCEEDINGS{10.1007/978-3-030-44751-9_40, author={Ning Wang and Bo Li and Mao Yang and Zhongjiang Yan and Ding Wang}, title={Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach}, proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings}, proceedings_a={IOTAAS}, year={2020}, month={6}, keywords={Wi-Fi Network Artificial intelligence Big data Machine learning Random forest Regression}, doi={10.1007/978-3-030-44751-9_40} }
- Ning Wang
Bo Li
Mao Yang
Zhongjiang Yan
Ding Wang
Year: 2020
Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach
IOTAAS
Springer
DOI: 10.1007/978-3-030-44751-9_40
Abstract
At present, Wi-Fi plays a very important role in the fields of online media, daily life, industry, military and etc.
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