FOREST FIRE PREDICTION WITH MACHINE LEARNING
K.G. Shangavi, K.K. Sindu, S. Gomathi · Journal of Emerging Technologies and Innovative Research · 2019
Data mining brings understandings, outlines, and descriptive and predictive representations from the large amounts of data available today in many organizations. We have many tools for data mining. One of those tools is rattle which runs on R programming language. In this paper, we used rattle to analyze forest fires which occurred in different regions during different periods of time. We can study whether rattle is an efficient tool by analyzing its time taken for delivering the result, error rate and much more.