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.
|Publication status||Published - Dec 1997|
|Event||IEE Colloquium on IT Strategies for Information Overload - London, United Kingdom|
Duration: 3 Dec 1997 → …
|Conference||IEE Colloquium on IT Strategies for Information Overload|
|Period||3/12/97 → …|