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Conference Paper
Mobile Traffic Prediction Based on Clustering Algorithm
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- Authors
- Je-Woo Lee, Een-Kee Hong, Jung Mo Moon
- Issue Date
- 2021-01
- Citation
- International Conference on Information Networking (ICOIN) 2021, pp.1-1
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a more accurate traffic prediction technique by applying clustering based on correlation to deep learning. The proposed deep learning structure uses the model specialized for spatio-temporal data as a basis. In addition, the dataset is separated using proposed clustering algorithm, and the result of learning in cluster is shared other clusters through transfer learning. Through experiments, it was shown that the proposed method can improve performance compared to the existing learning model and clustering algorithm in three evaluation metrics.
- KSP Keywords
- Clustering algorithm, Mobile traffic, Prediction technique, Spatiotemporal data, Traffic Prediction, Transfer learning, clustering based, deep learning(DL), evaluation metrics, learning models