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Bitcoin Transaction Fraud Detection Model Using Semi-Supervised Co-Training by Committee for Financial Institutions

https://doi.org/10.2139/ssrn.4789176
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Detection of Bitcoin-Based Botnets Using a One-Class Classifier
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A Supervised Model to Detect Suspicious Activities in the Bitcoin Network
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Toward Detecting Illegal Transactions on Bitcoin Using Machine-Learning Methods
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Identifying Illicit Addresses in Bitcoin Network
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A Conceptual Model to Identify Illegal Activities on the Bitcoin System
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Illegal activity detection on bitcoin transaction using deep learning
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Supervised learning model for identifying illegal activities in Bitcoin
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Cryptomining makes noise: Detecting cryptojacking via Machine Learning
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100402openalex-extracted
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
inferredcites →https://doi.org/10.1016/j.neucom.2017.11.077openalex-extracted
Feature selection in machine learning: A new perspective
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Random Forests
inferredcites →https://doi.org/10.1049/icp.2022.0387openalex-extracted
Detection of money laundering in bitcoin transactions
inferredcites →https://doi.org/10.1093/cybsec/tyz003openalex-extracted
Ransomware payments in the Bitcoin ecosystem
inferredcites →https://doi.org/10.1109/access.2021.3134138openalex-extracted
Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting
inferredcites →https://doi.org/10.1109/access.2023.3308298openalex-extracted
A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities
inferredcites →https://doi.org/10.1109/bloc.2019.8751410openalex-extracted
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization
inferredcites →https://doi.org/10.1109/blockchain53845.2021.00066openalex-extracted
Towards Malicious address identification in Bitcoin
inferredcites →https://doi.org/10.1109/cvcbt.2018.00014openalex-extracted
Data Mining for Detecting Bitcoin Ponzi Schemes
inferredcites →https://doi.org/10.1109/cybermatics_2018.2018.00208openalex-extracted
Multi-Class Bitcoin-Enabled Service Identification Based on Transaction History Summarization
inferredcites →https://doi.org/10.1109/icdmw.2008.27openalex-extracted
Co-training by Committee: A New Semi-supervised Learning Framework
inferredcites →https://doi.org/10.1109/icmla.2016.0039openalex-extracted
A Multifaceted Approach to Bitcoin Fraud Detection: Global and Local Outliers
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489389openalex-extracted
Electricity fraud detection using committee semi-supervised learning
inferredcites →https://doi.org/10.1109/issa.2016.7802939openalex-extracted
Unsupervised learning for robust Bitcoin fraud detection
inferredcites →https://doi.org/10.1145/2801948.2802011openalex-extracted
Combining random forest and support vector machines for semi-supervised learning
inferredcites →https://doi.org/10.1145/3418981.3418984openalex-extracted
Detecting Illicit Entities in Bitcoin using Supervised Learning of Ensemble Decision Trees
inferredcites →https://doi.org/10.1145/3471287.3471300openalex-extracted
The Application of Machine Learning in Bitcoin Ransomware Family Prediction
inferredcites →https://doi.org/10.21203/rs.3.rs-2414745/v1openalex-extracted
Anomaly detection and analysis in blockchain systems
inferredcites →https://doi.org/10.2139/ssrn.3440802openalex-extracted
Bitcoin: A Peer-to-Peer Electronic Cash System
inferredcites →https://doi.org/10.48550/arxiv.1611.03941openalex-extracted
Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
inferredcites →https://doi.org/10.48550/arxiv.1611.03942openalex-extracted
Anomaly Detection in the Bitcoin System - A Network Perspective
inferredcites →https://doi.org/10.48550/arxiv.1908.02591openalex-extracted
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
inferredcites →https://doi.org/10.5281/zenodo.1238040openalex-extracted
Ransomware Payments In The Bitcoin Ecosystem
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