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

香港中文大學研究人員

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摘要Conceptual 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.
著者Yang Y., Lin H., Guo Z., Jiang J.
會議名稱18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005
會議開始日22.06.2005
會議完結日24.06.2005
會議地點Bari
會議國家/地區意大利
詳細描述ed. by M. Ali and F. Esposito.
出版年份2005
月份12
日期1
卷號3533 LNAI
出版社Springer Verlag
出版地Germany
頁次490 - 499
國際標準書號3540265511
國際標準期刊號0302-9743
語言英式英語

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