Anomaly detection for cryptocurrency (doi:10.21979/N9/MRLOYJ)

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Part 1: Document Description
Part 2: Study Description
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Document Description

Citation

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

Study Description

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

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

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

Label:

ethereum_anomalies.csv

Notes:

text/csv

Other Study-Related Materials

Label:

iotex_anomalies.csv

Notes:

text/csv

Other Study-Related Materials

Label:

tezos_anomalies.csv

Notes:

text/csv