Rainfall Prediction using Apriori Algorithm
J. Refonaa1, M. Lakshmi2, Allu Chaya Satya Kiran3, Anantha Ravi Teja4
1J. Refonaa, Assistant Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2M. Lakshmi, Principal, Professor, Sri krishna College of Technology, Coimbatore (Tamil Nadu), India.
3Allu Chaya Satya Kiran, Student, School of Computing, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Anantha Ravi Teja, India.
Manuscript received on 19 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 593-596 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11090782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1109.0782S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 models.
Keywords: Apriori Algorithm, Feature Extraction, Rainfall Dataset, Rainfall Prediction, Rule Set, Accuracy.
Scope of the Article: Algorithm Engineering