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Title: Extraction of the Convective Day Category Index Using Data Mining Techniques
Authors: Tsagalidis, Evangelos
Karamitopoulos, Leonidas
Evangelidis, Georgios
Dervos, Dimitris A.
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: hail suppression program
convective day category index
data mining
decision trees
Issue Date: 2005
First Page: 692
Last Page: 698
Volume Title: 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
Abstract: One of the tasks of the Hellenic Hail Suppression Program is the determination of the observed convective day category (CDC) index. This process is accomplished by having the meteorologists analyze the operational data manually. To automate and speed up this procedure we have developed an application in the CLIPS Expert System environment that calculates the observed CDC index. In this paper we examine the appropriate data mining techniques that could be used to extract this index from operational data automatically.
ISBN: 0-7803-9446-1
Other Identifiers: 10.1109/IDAACS.2005.283074
Appears in Collections:Department of Applied Informatics

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