@inproceedings{1120297cac414605a6b2c7d9b11f4438,
title = "Web Mining for Estimating Regulatory Blockchain Readiness",
abstract = "The regulatory landscape for cryptocurrencies and blockchain tokens is a critical factor shaping business decisions and opportunities. This study proposes a computational model that leverages Web mining through search engines to quantitatively estimate the regulatory readiness of countries in relation to cryptocurrencies. The model{\textquoteright}s performance is validated through experimental trials supplemented with un- supervised clustering techniques for deeper analysis of the derived estimations. The findings demonstrate the effectiveness of the model in assessing regulatory tendencies and offer valuable insights for policymakers and industry stakeholders. This algorithmic approach presents an algorithmic methodology over manual regulatory assessments and subjective methods, showcasing its potential to guide regulatory frameworks in the rapidly evolving space of cryptocurrencies.",
keywords = "Blockchain Regulation, Cryptocurrency Blockchain Business Intelligence, Policy Guidance, Readiness, Regulatory, Web Mining",
author = "Andreas Vlachos and Elias Iosif and Klitos Christodoulou",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023 ; Conference date: 11-12-2023 Through 12-12-2023",
year = "2024",
doi = "10.1007/978-3-031-56478-9_3",
language = "English",
isbn = "9783031564772",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "41--51",
editor = "Maria Papadaki and {Al Marri}, Khalid and Marinos Themistocleous and {Al Zarouni}, Marwan",
booktitle = "Information Systems - 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, Proceedings",
address = "Germany",
}