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ToolsHoward, C. M. and Rayward-Smith, V. J. (1997) Streamlining a Meteorological Database for Knowledge Discovery. In: IEE Colloquium on IT Strategies for Information Overload, 1997-12-03.
Full text not available from this repository. (Request a copy)Abstract
Knowledge discovery in databases (KDD) is a multi stage process for extracting non trivial information from databases; two such stages are data preparation and data mining. We show how KDD techniques have been applied to a meteorological database to search for climatic patterns between geographical locations and how the size and quality of the data give rise to problems in the data mining stage.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Depositing User: | EPrints Services |
| Date Deposited: | 01 Oct 2010 13:41 |
| Last Modified: | 24 Sep 2024 07:16 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/3004 |
| DOI: | 10.1049/ic:19971154 |
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