Abstract: Temperature forecasting and rain forecasting in today's environment is playing a major role in many fields like transportation, tour planning and agriculture. The purpose of this paper is to provide a real time forecasting to the user according to their current position and requirement. The simplest method of forecasting the weather, persistence, relies upon today's conditions to forecast the conditions tomorrow i.e. analyzing historical data for predicting future weather conditions. The weather data used for the DM research include daily temperature, daily pressure and monthly rainfall.

Abhishek Kumar Singh, Aditi Sharma and Rahul Mishra, “Personalized Real Time Weather Forecasting With Recommendations” International Journal of Advanced Computer Science and Applications(IJACSA), 4(11), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041126

@article{Singh2013,
title = {Personalized Real Time Weather Forecasting With Recommendations},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041126},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041126},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {11},
author = {Abhishek Kumar Singh and Aditi Sharma and Rahul Mishra}
}