POSTER| Address2vec: Generating Vector Embeddings for Blockchain Analytics
| dc.contributor.author | Hussein, Ali | |
| dc.contributor.author | Nalwooga, Samiiha | |
| dc.date.accessioned | 2024-03-21T07:56:33Z | |
| dc.date.available | 2024-03-21T07:56:33Z | |
| dc.date.issued | 2019-05-17 | |
| dc.description.abstract | 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 behaviour. The current work allows for utilization of common machine learning algorithms on bitcoin transaction addresses. | |
| dc.description.provenance | Submitted by Grace Kambwiri (gracekambwiri@gmail.com) on 2024-03-21T07:56:33Z No. of bitstreams: 1 conference_poster_2_final.pdf: 1960518 bytes, checksum: cb360b67987da15509c90f0f18169b1c (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2024-03-21T07:56:33Z (GMT). No. of bitstreams: 1 conference_poster_2_final.pdf: 1960518 bytes, checksum: cb360b67987da15509c90f0f18169b1c (MD5) Previous issue date: 2019-05-17 | en |
| dc.identifier.doi | https://doi.org/10.31730/osf.io/9pcmn | |
| dc.identifier.doi | https://doi.org/10.60763/africarxiv/1124 | |
| dc.identifier.uri | https://africarxiv.ubuntunet.net/handle/1/1171 | |
| dc.subject | graph embeddings | |
| dc.subject | node2vec | |
| dc.subject | representation learning | |
| dc.subject | word2vec | |
| dc.title | POSTER| Address2vec: Generating Vector Embeddings for Blockchain Analytics |
