Bitcoin blockchain optimized for machine learning prediction model

DOI

This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash).

[1] https://doi.org/10.1145/3528669

Python, 3.7+

Pandas, 1.2

Numpy, 1.19.5

Identifier
DOI https://doi.org/10.18710/8IKVEU
Related Identifier IsCitedBy https://doi.org/10.1145/3528669
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/8IKVEU
Provenance
Creator Tedeschi, Enrico ORCID logo
Publisher DataverseNO
Contributor Tedeschi, Enrico; UiT The Arctic University of Norway; Nordmo, Tor-Arne, Schmidt
Publication Year 2022
Funding Reference The Research Council of Norway 321400
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Tedeschi, Enrico (UiT The Arctic University of Norway)
Representation
Resource Type Time series; Dataset
Format text/plain; text/csv
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Version 1.2
Discipline Other
Spatial Coverage Tromsø