International Journal of Computational and Electronic Aspects in Engineering
Volume 7 · Issue 3 · July 2026 · pp. 63-67
Special Issue of National Conference on Emerging Innovative Trends in Computer Applications
Research Article · Peer Reviewed
Received: June 10, 2026 · Accepted: July 20, 2026 · Published: 31 July 2026
DOI: 10.26706/ijceae.7.4.20260709
Open Access · CC BY 4.0

Data Mining for Weather Prediction

Dr. Madhura Naralkar1*, Sangam Meshram2, Piyush Kohale3, Tanmay Maske4
1,2,3,4 Department of MCA, Suryodaya College of Engineering and Technology, Nagpur, India.

*Corresponding author: Madhura.naralkar@gmail.com
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Abstract

Weather forecasting is very important for farming, disaster relief, transport and daily life activities. Good forecast is reduce loss and make decision better. In past methods, like physical and statistical models as based on it, they make the work more complicated. Now, with data mining techniques for large amount of data and computing power is become the better option. In this research paper we use classification, regression and clustering algorithms for predicting the weather patterns. Parameters like Temperature, Rainfall, Humidity and Wind Speed are used. The result shows the data mining methods are use for better efficiency and its become useful.[1][2][3]

Keywords

Weather Prediction Data Mining Machine Learning Classification Regression Forecasting Model

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