Weather prediction: A novel approach for measuring and analyzing weather data
Sunil Navadia, Pintukumar Yadav, Jobin Thomas, Shakila Shaikh · 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2017
The generation of data in last few years has increased tremendously and it is expected to increase more in future therefore it is a tedious process to analyze huge chunks of weather data and perform predictive analysis of the same using traditional methods. The project aims to forecast the chances of rainfall by using predictive analysis in Hadoop. The proposed system serves as a tool that takes in the rainfall data from large amount of data as input and predicts the future rainfall with min, max and average rainfall in an efficient manner. Predictive analytic models capture relationships among many factors in a data set to assess risk with a particular set of conditions to assign a score or a weight. These patterns of score/weight found in historical data can be used for predicting the future.