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Self organizing data mining for weather forecasting

Onwubolu, Godfrey C. and Buryan, P. and Garimella, Sitaram and Ramachandran, Visagaperuman and Buadromo, Viti T. and Abraham, Ajith (2007) Self organizing data mining for weather forecasting. [Conference Proceedings]

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Abstract

The rate at which organizations are acquiring data is exploding and managing such data so as to infer useful knowledge that can be put to use is increasingly becoming important. Data Mining (DM) is one such technology that is employed in inferring useful knowledge that can be put to use from a vast amount of data. This paper presents the data mining activity that was employed in weather data prediction or forecasting. The self-organizing data mining approach employed is the enhanced Group Method of Data Handling (e-GMDH). The weather data used for the DM research include daily temperature, daily pressure and monthly rainfall. Experimental results indicate that the proposed approach is useful for data mining technique for forecasting weather data.

Item Type: Conference Proceedings
Subjects: Q Science > QC Physics
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User: Ms Mereoni Camailakeba
Date Deposited: 25 Apr 2007 19:25
Last Modified: 28 Jun 2012 21:16
URI: http://repository.usp.ac.fj/id/eprint/4277
UNSPECIFIED

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