POSTER| Address2vec: Generating Vector Embeddings for Blockchain Analytics
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Bitcoin Blockchain is a completely public open currency transaction ledger, recent growth in the crypto-currency market has driven many lawful and blackmarket actors using Bitcoin as the main method of payment. I propose address2vec an algorithm to generate vector representations of addresses on the Bitcoin Blockchain.I am able to present better results than a baseline random approach in predicting hoarding vs spending beaviour. The current work allows for utilization of common machine learning algorithms on bitcoin transaction addresses.
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2019 ◽
Vol 1
(2)
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pp. 78-80
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2017 ◽
Vol 12
(1)
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pp. 21
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