Header menu link for other important links
X
Heavy Rainfall Prediction using Gini Index in Decision Tree
Ayisha Siddiqua L,
Published in Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
2019
Volume: 8
   
Issue: 4
Pages: 4558 - 4562
Abstract
In existing systems, it happens that sometimes the data is not accurate and proper data mining techniques not being used and this increases the complexity.We as humans are bound to make mistakes while predicting weather conditions which might result in damage to both life and property. To avoid this, we use data mining algorithms for early warning of climatic conditions such as like maximum temperature, minimum temperature wind speed, rainfall, humidity, pressure, dew point, cloud, sunshine and wind direction from data to predict rainfall. But by using proper algorithms for datasets and using the right metrics, we can achieve the accurate results in prediction of rainfall. Hence, we apply the Decision tree algorithm using Gini Index in order to predict the precipitation with accuracy and it is completely based on the historical data.
About the journal
JournalInternational Journal of Recent Technology and Engineering Regular Issue
PublisherBlue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Open Access0