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  • 标题:SURVEY ON METEOROLOGICAL WEATHER ANALYSIS BASED ON NAÏVE BAYES CLASSIFICATION ALGORITHM
  • 本地全文:下载
  • 作者:P.Vanitha ; Dr M.Mayilvaganan
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2016
  • 卷号:5
  • 期号:1
  • 页码:15432-15440
  • 出版社:IJECS
  • 摘要:The aim of this research work, to focusesmeteorological data to predict themonsoon seasons to separate the weatherdata based on Longitudinal andLatitudinal which can be used to analysethe reliability factor of Temperature,Humidity, Rainfall and Cyclone.The present paper analyses the monthlyweather data and rainfall data from theIndian monsoon months between theyear 2000 to 2014.To find the relationship between therainfall details, humidity, temperature,After finding the reliability, Naïve BayesClassification can be predict theMeteorological condition of regionbased on the cyclone and humidity levelin seasonally.
  • 关键词:Longitudinal; Latitudinal;Temperature; Humidity; Rainfall and;Cyclone; monsoon
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