Machine Learning Based Bitcoin Address Classification

Author:

Lee Chaehyeon,Maharjan Sajan,Ko Kyungchan,Woo Jongsoo,Hong James Won-Ki

Publisher

Springer Singapore

Reference32 articles.

1. Nakamoto, S., et al. Bitcoin: a peer-to-peer electronic cash system (2008)

2. Swan, M.: Blockchain: Blueprint for a New Economy. O’Reilly Media Inc., Newton (2015)

3. Harvey, C.R.: Bitcoin myths and facts. Available at SSRN 2479670 (2014)

4. Bitcoin Magazine: Bitcoin magazine: bitcoin news, bitcoin charts, events. https://bitcoinmagazine.com/articles/darknet-markets-cant-live-with-or-without-bitcoin

5. Chainalysis. Chainalysis: The blockchain analysis company. https://www.chainalysis.com/

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1. Demystifying Bitcoin Address Behavior via Graph Neural Networks;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

2. Research on Bitcoin address classification based on transaction history features;Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022);2023-02-22

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