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  • 标题:Personalized Real Time Weather Forecasting With Recommendations
  • 本地全文:下载
  • 作者:Abhishek Kumar Singh ; Aditi Sharma ; Rahul Mishra
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:11
  • DOI:10.14569/IJACSA.2013.041126
  • 出版社:Science and Information Society (SAI)
  • 摘要:Temperature forecasting and rain forecasting in today's environment is playing a major role in many fields like transportation, tour planning and agriculture. The purpose of this paper is to provide a real time forecasting to the user according to their current position and requirement. The simplest method of forecasting the weather, persistence, relies upon today's conditions to forecast the conditions tomorrow i.e. analyzing historical data for predicting future weather conditions. The weather data used for the DM research include daily temperature, daily pressure and monthly rainfall.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Weather Forcasting; NOAA
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