Streamlining a Meteorological Database for Knowledge Discovery

C. M. Howard, V. J. Rayward-Smith

Research output: Contribution to conferenceOther

1 Citation (Scopus)


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.
Original languageEnglish
Publication statusPublished - Dec 1997
EventIEE Colloquium on IT Strategies for Information Overload - London, United Kingdom
Duration: 3 Dec 1997 → …


ConferenceIEE Colloquium on IT Strategies for Information Overload
Country/TerritoryUnited Kingdom
Period3/12/97 → …

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