Elliptic, a blockchain analytics firm, MIT, and IBM have released a dataset of 200,000 bitcoin transactions to foster the development of machine learning algorithms that can detect illicit transactions. The groups labeled the transactions, which total $6 billion, as licit, illicit and unknown. Each transaction also has an associated 166 features, such as the transaction fee and a time interval for when a transaction appeared on the blockchain.
Date : August 3, 2019 at 12:22AM
Tag(s) : #OPENDATA ENG, blockchain, bitcoin, algorithm
