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A Novel Approach for Weather Prediction Using Forecasting Analysis and Data Mining Techniques

  • Md Rashid MahmoodEmail author
  • Raj Kumar Patra
  • Rohit Raja
  • G. R. Sinha
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 65)

Abstract

The Weather forecast is used to predict the atmospheric condition such as rain, wind, heat, pressure, humidity etc. It is very useful especially in agriculture, air traffic and military purposes. Weather forecast is done by analysis on bulk data, received from the satellite for specific purpose. It is a very tedious and time taking for analysis on such a huge volume of data. Now a day, Data miming is very popular to handle such type of data. Some algorithm like Back Propagation, Naïve Bayesian and Decision Tree Induction is being used to predict the weather condition on diverse parameters. Here, we are proposing Cumulative Distribution Function (CDF) for modeling and analysis of complex data for weather prediction. This method gives us the better accuracy in case of climate change in near future.

Keywords

Data mining Weather forecasting techniques Forecast types Forecast methods 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Md Rashid Mahmood
    • 1
    Email author
  • Raj Kumar Patra
    • 2
  • Rohit Raja
    • 3
  • G. R. Sinha
    • 4
  1. 1.Department of Electronics and CommunicationsGuru Nanak Institutions Technical CampusHyderabadIndia
  2. 2.CMR Technical CampusHyderabadIndia
  3. 3.Sreyas Institute of Engineering and TechnologyHyderabadIndia
  4. 4.Myanmar Institute of Information TechnologyMandalayMyanmar

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