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Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count

Se-Hyun Ji, Ui-Jun Baek, Mu-gon Shin, Young-Hoon Goo, Jun-Sang Park, Myung-Sup Kim. Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count. In 20th Asia-Pacific Network Operations and Management Symposium, APNOMS 2019, Matsue, Japan, September 18-20, 2019. pages 1-6, IEEE, 2019. [doi]

Authors

Se-Hyun Ji

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Ui-Jun Baek

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Mu-gon Shin

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Young-Hoon Goo

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Jun-Sang Park

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Myung-Sup Kim

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