A SURVEY ON OUTLIER DETECTION FOR UNCERTAIN METEOROLOGY DATA
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 2015, Vol 4, Issue 12
Abstract
In recent times climate change has been considered to be the major problem. Meteorology is the study of atmosphere like humidity, pressure, etc. It is important to analyze the hidden knowledge about the huge meteorological data in order to predict the climate from affecting various sectors. So the large data is analyzed, clustered, outliers are removed to predict the climate condition. As the weather data are large and continuous there are chances of many anomalies to be present. In order to remove those anomalies and predict the climatic condition a special outlier analysis is undergone. In this paper, a survey for detecting outlier is discussed.
Authors and Affiliations
K. Masila Devi
Keywords
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