Open AccessRainfall Prediction using Apriori Algorithm
Author(s) -
J. Refonaa,
M. Lakshmi,
A. Krishna Satya,
Allamsetty Krishna Teja
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.b1109.0782s319
Subject(s) - computer science , apriori algorithm , data mining , machine learning , preprocessor , feature (linguistics) , data pre processing , a priori and a posteriori , set (abstract data type) , artificial intelligence , association rule learning , linguistics , philosophy , epistemology , programming language
The growth of machine learning techniques has paved way for predicting various areas and weather prediction is one of the most commonly used application. One of the most interesting part of research is rainfall prediction Rainfall prediction is done by various researchers as it is one of the prime aspects in detecting the rainfall and measuring its intensity beforehand to reduce the number of loss of lives and properties. Nowadays, severe rainfall is one of the major reason is most of disasters such as floods and landslides. Predicting its occurrence well before could be very much helpful in further disaster management operations. In this paper, we have predicted rainfall by making use of various machine learning techniques and is been deployed by using it in predicting Chennai rainfall dataset. The research work makes use of Apriori Algorithm to demonstrate the feature set and to look out for the possibility of rainfall. Preprocessing of the dataset is done in order to extract the features of the dataset and then the Apriori Algorithm is used. The designed model is proposed to produce about 95% of accuracy, potency and lesser time when compared to other model