International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

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TITLE Analysing the Impact of Artificial Intelligence on the World Tourism Economy Using Machine Learning and Logistic Regression
ABSTRACT The world tourism industry plays a vital role in the global economy, contributing significantly to employment, cultural exchange, and economic growth. This study aims to analyze the factors influencing the tourism economy across different regions globally using logistic regression models. The research focuses on understanding the relationship between various socio-economic, political, and environmental factors and the success of the tourism industry in various countries. Key variables considered include GDP, inflation rates, political stability, exchange rates, natural disasters, and technological advancements in transportation and communication. By utilizing logistic regression, the study classifies countries into two categories: high-performing and low-performing in terms of tourism revenue. The findings offer valuable insights for policymakers and tourism stakeholders to identify critical success factors, address challenges, and implement strategies to enhance the tourism economy. Moreover, this study provides a predictive model for forecasting tourism industry performance, assisting in future planning and decision-making processes in the global tourism sector.
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AUTHOR SAJI M.G Lecturer in Computer Engineering, Government Polytechnic College, Nedumangad, Kerala, India
VOLUME 132
DOI DOI: 10.15680/IJIRCCE.2022.1005344
PDF pdf/344_Analysing the Impact of Artificial Intelligence1.pdf
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