Title :
Extraction of the Convective Day Category Index Using Data Mining Techniques
Author :
Tsagalidis, E.G. ; Karamitopoulos, Leonidas ; Evangelidis, Georgios ; Dervos, Dimitris A.
Author_Institution :
Meteorol. Applic. Center, Thessaloniki
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.
Keywords :
atmospheric precipitation; atmospheric techniques; data analysis; data mining; expert systems; geophysics computing; meteorology; CLIPS Expert System; Hellenic Hail Suppression Program; convective day category index extraction; data mining; meteorology; operational data analysis; Clouds; Conferences; Data mining; Expert systems; Insurance; Meteorological radar; Meteorology; Position measurement; Radar measurements; Weather forecasting; classification; convective day category index; data mining; decision trees; hail suppression program;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
DOI :
10.1109/IDAACS.2005.283074
