• Gayathri Sunil
• Chaithra S
• Jayashree M Kudari

Volcanic eruptions can be extremely dangerous, thus it's critical to be able to predict them as precisely as possible. Despite the fact that data from volcano monitoring has substantially expanded in number and quality over the previous decades, volcano eruption forecasting remains a difficult and contentious topic. Classic Machine Learning technologies, like in many Big Data situations, are now being investigated to automate the analysis of years of recorded data, enabling larger-scale monitoring. This research paper describes methods for automatically classifying seismic occurrences associated with volcanic activity and also includes prediction models developed from a large data set of labelled observations

Volcanoes, InSAR, Volcanic eruptions, Volcanic hazards, Support Vector Machine

"PREDICTION OF VOLCANOES USING MACHINE LEARNING ALGORITHMS: A SURVEY PAPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.363-365, June-2022, Available :http://www.jetir.org/papers/JETIRFM06065.pdf

"PREDICTION OF VOLCANOES USING MACHINE LEARNING ALGORITHMS: A SURVEY PAPER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp363-365, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06065.pdf