Detecting potential money laundering addresses in the Bitcoin blockchain using unsupervised machine learning.
Hilmar Páll StefánssonHuginn Sær GrímssonJón Kristinn ÞórðarsonMaria ÓskarsdóttirPublished in: HICSS (2022)
Keyphrases
- machine learning
- money laundering
- anti money laundering
- unsupervised learning
- applying data mining
- feature selection
- data analysis
- natural language processing
- text mining
- text classification
- active learning
- learning algorithm
- data mining
- decision making
- credit card
- financial data
- criminal activities
- financial institutions