There are two machine learning algorithms-XGboost and random forest (RF)-used for transaction classification.  In the proposed model, XGboost and random forest (RF) algorithms are used to classify transactions and predict transaction patterns. 
XGboost
There are two machine learning algorithms-XGboost and random forest (RF)-used for transaction classification.  In the proposed model, XGboost and random forest (RF) algorithms are used to classify transactions and predict transaction patterns. 
random forest (RF)
Moreover, blockchain technology is being introduced as the most secure method integrated into finance.  The blockchain technology is integrated with machine learning algorithms to detect fraudulent transactions in the Bitcoin network. 
blockchain technology
There are two machine learning algorithms-XGboost and random forest (RF)-used for transaction classification.  The blockchain technology is integrated with machine learning algorithms to detect fraudulent transactions in the Bitcoin network. 
machine learning algorithms
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism.In this paper, we address the problems of fraud and anomalies in the Bitcoin network.  The blockchain technology is integrated with machine learning algorithms to detect fraudulent transactions in the Bitcoin network. 
Bitcoin network