作者: Sarah Bouraga
DOI: 10.1109/BRAINS49436.2020.9223288
关键词: Value (economics) 、 Automatic summarization 、 Database 、 Database transaction 、 Gas consumption 、 Computer science
摘要: The author uses data about transactions on Ethereum as sources for studying the relationship between historic of a given address and amount gas consumed transaction. combines transactions, blocks to predict usage Specifically, how much will be next transaction, initiator’s transaction history. results demonstrate value considering history predictions.