Blockchain data recommendation algorithm based on data mining technology
With the application of blockchain technology in the financial field,more and more transaction data and block informa-tion are generated.How to manage and utilize these data effectively has become an important issue.This study proposes a blockchain data recommendation algorithm based on data mining technology,which aims to improve the accuracy and efficiency of blockchain da-ta recommendation and help financial regulators better achieve regulatory goals.The performance of the blockchain data recommenda-tion algorithm based on LightGBM algorithm is tested with its similar algorithms.The experimental results show that the PR curve val-ue of LightGBM algorithm is the largest,which is 0.956;The AUC value of LightGBM algorithm is the highest(0.958).The maxi-mum KS value curve of LightGBM algorithm is 0.718 5.The accuracy of LightGBM algorithm is the highest,which is 0.925.This shows that the research algorithm can improve the accuracy and efficiency of blockchain data recommendation,and provide strong sup-port for financial regulators to achieve regulatory goals.
data mining technologyblockchaindata recommendationconstruct decision tree algorithmlightGBM algorithm
万方数据
维普
