Weather Prediction Using Data Mining

  Prashant Sidagouda Biradar,  Yashavant Ashok Paradkar,  Sarfraz Sagir Ahmed Ansari

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Here this system will predict weather based on parameters such as temperature, humidity and wind. This system is a web application with effective graphical user interface. To predict the future’s weather condition, the variation in the conditions in past years must be utilized.The probability that it will match within the span of adjacent fortnight of previous year is very high.We have proposed the use of K-medoids and Naive Bayes algorithm for weather forecasting system with parameters such as temperature, humidity, and wind.It will forecast weather based on previous record therefore this prediction will prove reliable. This system can be used in Air Traffic, Marine, Agriculture, Forestry, Military, and Navy etc.

Keywords- : Data mining, Weather prediction, Weather forecasting.

Unique Identification Number - IJEDR1702035
Page Number(s) - 211-214
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Prashant Sidagouda Biradar,  Yashavant Ashok Paradkar,  Sarfraz Sagir Ahmed Ansari,   "Weather Prediction Using Data Mining", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.211-214, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702035.pdf