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Part 1: Document Description
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Citation |
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Title: |
Anomaly detection for cryptocurrency |
Identification Number: |
doi:10.21979/N9/MRLOYJ |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2025-02-07 |
Version: |
1 |
Bibliographic Citation: |
Foo, Kelvin Moo Chen, 2025, "Anomaly detection for cryptocurrency", https://doi.org/10.21979/N9/MRLOYJ, DR-NTU (Data), V1 |
Citation |
|
Title: |
Anomaly detection for cryptocurrency |
Identification Number: |
doi:10.21979/N9/MRLOYJ |
Authoring Entity: |
Foo, Kelvin Moo Chen (Nanyang Technological University) |
Software used in Production: |
BigQuery |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Foo, Kelvin Moo Chen |
Depositor: |
Foo, Kelvin Moo Chen |
Date of Deposit: |
2025-02-03 |
Holdings Information: |
https://doi.org/10.21979/N9/MRLOYJ |
Study Scope |
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Keywords: |
Mathematical Sciences, Mathematical Sciences, Cryptocurrency |
Abstract: |
Features used in unsupervised anomaly detection among influential wallet addresses of Bitcoin, Ethereum, Iotex and Tezos |
Kind of Data: |
transaction data |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
ethereum_anomalies.csv |
Notes: |
text/csv |
Label: |
iotex_anomalies.csv |
Notes: |
text/csv |
Label: |
tezos_anomalies.csv |
Notes: |
text/csv |