A meteorological conceptual modeling approach based on spatial data mining and knowledge discovery
Refereed conference paper presented and published in conference proceedings

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AbstractConceptual models play an important part in a variety of domains, especially in meteorological applications. This paper proposes a novel conceptual modeling approach based on a two-phase spatial data mining and knowledge discovery method, aiming to model the concepts of the evolvement trends of Mesoscale Convective Clouds (MCCs) over the Tibetan Plateau with derivation rules and environmental physical models. Experimental results show that the proposed conceptual model to much extent simplifies and improves the weather forecasting techniques on heavy rainfalls and floods in South China. © Springer-Verlag Berlin Heidelberg 2005.
All Author(s) ListYang Y., Lin H., Guo Z., Jiang J.
Name of Conference18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005
Start Date of Conference22/06/2005
End Date of Conference24/06/2005
Place of ConferenceBari
Country/Region of ConferenceItaly
Detailed descriptioned. by M. Ali and F. Esposito.
Volume Number3533 LNAI
PublisherSpringer Verlag
Place of PublicationGermany
Pages490 - 499
LanguagesEnglish-United Kingdom

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