Temperature and Humidity Data Analysis for Future Value Prediction Using Clustering Technique: An Approach

Knowledge of climate data in a region is necessary for business, society, agriculture, pollution and energy applications. In research and development, it makes the researchers to pay an extra attention towards this type of matter. As there is a impressive achievement in this field over the past few years, among all the other seasonal climatic attributes, the main factor used by the researcher is the Sea Surface Temperature (SST) to develop the systems for prediction of temperature and humidity.

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE) Topic: Big Data Date Added: Jan 2012 Format: PDF

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