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]
Full text not available from this repository.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 07:25 |
| Last Modified: | 28 Jun 2012 09:16 |
| URI: | https://repository.usp.ac.fj/id/eprint/4277 |
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