Active Learning in the Detection of Anomalies in Cryptocurrency Transactions

The cryptocurrency market has grown significantly, and this quick growth has given rise to scams. It is necessary to put fraud detection mechanisms in place. The challenge of inadequate labeling is addressed in this work, which is a barrier to the training of high-performance supervised classifiers....

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Bibliographic Details
Main Authors: Leandro L. Cunha, Miguel A. Brito, Domingos F. Oliveira, Ana P. Martins
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/5/4/84