Incremental learning for Volcano monitoring

This document studies the creation of a computer program written in Java programming language to classify seismic movements occurred between 2015 and 2016 collected from volcano Puracé in Colombia, with the inclusion in this system of Data Mining application MOA by the University of Waikato. It is offered an initial study of aspects to take into consideration for the problem, presenting for a more profound analysis of the questions from a technological point of view, various suggestions and ways of confronting it. By performing a series of tests using surveillance data from volcano Puracé and applying modifications to these data, it’s derived the accuracy of Data Mining algorithms and necessary processes to produce a base structure for real-time applications related to seismic movement analysis. The analysis of the data is also performed, along with derivation of models of prediction using the program built for this project.Ingeniería Informática (Plan 2011