Open AccessPredictive Analysis of Snow-slide based on Temperature Monitoring
Author(s) -
P. M. Dinesh,
S Pavithran,
S Priyanka
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6046.098319
Subject(s) - decision tree , snow , computer science , process (computing) , decision tree learning , predictive value , tree (set theory) , data mining , algorithm , machine learning , meteorology , mathematics , geography , medicine , mathematical analysis , operating system
Avalanche prediction is a complex process which involves the study and understanding to predict certain parameters that are varying continuously. We predict the output using the decision tree algorithm. We apply this algorithm to the dataset. Dataset is formed by studying the factors affecting avalanche and we fix five parameters which mostly affects the occurrence of avalanche. By applying the decision tree algorithm we will be able to predict the output. Using this we can save the life of people who live in the snow regions. In this, the user should enter the values of the parameters. In future, we can use sensors to determine the value of all the five parameters.