International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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An Intelligent System for Filling of Missing Values in Weather Data

  • Maqsood Ali Solangi (Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology) ;
  • Ghulam Ali Mallah (Department of Computer Science, Shah Abdul Latif University Khairpur Mir's) ;
  • Shagufta Naz (Department of Basic Sciences & Related Studies, Benazir Bhutto Shaheed University of Technology and Skill Development (BBSUTSD) Khairpur Mir's) ;
  • Jamil Ahmed Chandio (Department of Computer Science, Shah Abdul Latif University Khairpur Mir's) ;
  • Muhammad Bux Soomro (Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology)
  • Received : 2023.09.05
  • Published : 2023.09.30
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Abstract

Recently Machine Learning has been considered as one of the active research areas of Computer Science. The various Artificial Intelligence techniques are used to solve the classification problems of environmental sciences, biological sciences, and medical sciences etc. Due to the heterogynous and malfunctioning weather sensors a considerable amount of noisy data with missing is generated, which is alarming situation for weather prediction stockholders. Filling of these missing values with proper method is really one of the significant problems. The data must be cleaned before applying prediction model to collect more precise & accurate results. In order to solve all above stated problems, this research proposes a novel weather forecasting system which consists upon two steps. The first step will prepare data by reducing the noise; whereas a decision model is constructed at second step using regression algorithm. The Confusion Matrix will be used to evaluation the proposed classifier.

Keywords

References

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