Predictive Analysis of Snow-slide based on Temperature Monitoring | Zendy

P. M. Dinesh | Zendy; Shilpa Pavithran | Zendy; S Priyanka | Zendy

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Predictive Analysis of Snow-slide based on Temperature Monitoring

Author(s) -

P. M. Dinesh,

Shilpa Pavithran,

S Priyanka

Publication year - 2019

Publication title -

international journal of recent technology and engineering (ijrte)

Language(s) - English

Resource type - Journals

ISSN - 2277-3878

DOI - 10.35940/ijrte.c6046.098319

Subject(s) - decision tree , snow , computer science , process (computing) , tree (set theory) , decision tree learning , predictive value , data mining , machine learning , algorithm , 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.

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