Cryptocurrency market

Cryptocurrency charts, Atsiliepimai

Account Options Crypto metrics, Atsiliepimai Ethereum;Cryptocurrency;Blockchain;Fraudulent activity;K-Means clustering;Support vector machine;Random forest classifier Abstract: The phenomenon of cryptocurrencies continues to draw a lot of attention from investors, innovators and the general public.

dvejetainės parinktys kaip veikia geriausi mums dvejetainiai pasirinkimo sandorių brokeriai

There are over different cryptocurrencies, including Bitcoin, Ethereum and Litecoin. While the scope of blockchain technology and cryptocurrencies continues to increase, identification of unethical and fraudulent behaviour still remains an open issue. The absence of regulation of the cryptocurrencies ecosystem and the lack of transparency of the transactions may lead to an increased number of fraudulent cases.

imposition des akcijų opcionai en suisse binance btc

In this research, we have analyzed the possibility to identify fraudulent behaviour using different classification techniques. Based on Etherium transactional data, we constructed a transaction network crypto metrics was analyzed using a graph traversal algorithm.

vienos minutės prekyba dvejetainiais opcionais dvejetainės galimybės europos sąjunga

Bitcoin prekyba - Posts Facebook Data clustering was performed crypto metrics three machine learning algorithms: k-means clustering, Support Vector Machine and random cryptocurrency market classifier. The performance of the classifiers was evaluated using a few accuracy metrics that can be calculated from confusion matrix. Research results revealed that the best performance was achieved using a random forest classification model Internet:.

dvejetainiai variantai degiro matematika už prekybos opcionais

Panašūs įrašai