International Multi Topic Conference

IMTIC 2008: Wireless Networks, Information Processing and Systems pp 40-51

Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique

  • Zahoor Jan
  • Muhammad Abrar
  • Shariq Bashir
  • Anwar M. Mirza
Conference paper

DOI: 10.1007/978-3-540-89853-5_7

Volume 20 of the book series Communications in Computer and Information Science (CCIS)
Cite this paper as:
Jan Z., Abrar M., Bashir S., Mirza A.M. (2008) Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique. In: Hussain D.M.A., Rajput A.Q.K., Chowdhry B.S., Gee Q. (eds) Wireless Networks, Information Processing and Systems. IMTIC 2008. Communications in Computer and Information Science, vol 20. Springer, Berlin, Heidelberg

Abstract

The impact of seasonal to inter-annual climate prediction on society, business, agriculture and almost all aspects of human life, force the scientist to give proper attention to the matter. The last few years show tremendous achievements in this field. All systems and techniques developed so far, use the Sea Surface Temperature (SST) as the main factor, among other seasonal climatic attributes. Statistical and mathematical models are then used for further climate predictions. In this paper, we develop a system that uses the historical weather data of a region (rain, wind speed, dew point, temperature, etc.), and apply the data-mining algorithm “K-Nearest Neighbor (KNN)” for classification of these historical data into a specific time span. The k nearest time spans (k nearest neighbors) are then taken to predict the weather. Our experiments show that the system generates accurate results within reasonable time for months in advance.

Keywords

climate prediction weather prediction data mining k-Nearest Neighbor (KNN) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Zahoor Jan
    • 1
  • Muhammad Abrar
    • 2
  • Shariq Bashir
    • 3
  • Anwar M. Mirza
    • 1
  1. 1.FAST-National University of Computer and Emerging SciencesIslamabadPakistan
  2. 2.NWFP Agricultural University PeshawarPakistan
  3. 3.Vienna University of TechnologyAustria