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Applying Data Mining Techniques to Ground Level Ozone (O3) Data in UAE: A Case Study

  • Faten F. KharbatEmail author
  • Tarik A. Elamsy
  • Rahaf K. Awadallah
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 858)

Abstract

In UAE, environmental issues are considered as very crucial at all levels. This study attempts to analyze the current data available on the Ozone Layer in UAE via different data mining techniques. The study aims at giving a general idea about the Ozone Layer in UAE and generates some general rules that will help maintaining the future of Ground Ozone (O3) Level. Such understanding can support decision makers take action at the right time. The results produced from some well-known classification algorithm show that Sharjah has a sign of ‘Low Pollution’ in general. Also, the high temperature in summer may cause some problems in the reading which can be addressed in the near future.

Keywords

Data mining Ozone O3 Environment 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Faten F. Kharbat
    • 1
    Email author
  • Tarik A. Elamsy
    • 1
  • Rahaf K. Awadallah
    • 1
    • 2
  1. 1.College of EngineeringAl Ain University of Science and TechnologyAbu DhabiUAE
  2. 2.School of EngineeringPrincess Sumaya University for Technology, King AbdullahAmmanJordan

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