Streamlining a Meteorological Database for Knowledge Discovery

Howard, 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.

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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: 15 Dec 2022 01:08
DOI: 10.1049/ic:19971154

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