@inproceedings{5b4fea6c01fe4782950842b43b5e6bb9,
title = "An Evaluation of Gas Consumption Prediction on Ethereum based on Transaction History Summarization",
abstract = "The author uses data about transactions on Ethereum as sources for studying the relationship between the historic of transactions for a given address and the amount of gas consumed for a transaction. The author combines data about transactions, and blocks to predict the gas usage for a transaction. Specifically, how much gas will be consumed for the next transaction, given the initiator's transaction history. The results demonstrate the value of considering the transaction history for gas usage predictions.",
keywords = "Blockchain, Ethereum, Gas Consumption, Prediction, Regression",
author = "Sarah Bouraga",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 ; Conference date: 28-09-2020 Through 30-09-2020",
year = "2020",
month = sep,
doi = "10.1109/brains49436.2020.9223288",
language = "English",
series = "2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--50",
booktitle = "2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020",
address = "United States",
}