ESTIMATION OF VARIANCE IN CLIMATE PATTERNS USING BAYESIAN ALGORITHM

With rapid innovations and surge of internet companies like Google, Yahoo, Amazon, eBay and a rapidly growing internet savvy population, today’s advanced systems and enterprises are generating data in a very huge volume with great velocity and in a multistructured formats including videos, images, sensor data, weblogs etc. from different sources. This has given birth to a new type of data called Big Data which is unstructured sometimes semi structured and also unpredictable in nature. This data is mostly generated in real time from social media websites which are increasing exponentially on a daily basis. According to Wikipedia, “Big Data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.

our system predicts the climate based on the available data can be mined and utilized by different companies to obtain the climatic prediction .This can be done by using Hadoop concepts in addition to data, places, temperature etc. This can tell the company the accuracy of the climate and be useful in designing in later