Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002 PDF
197 Pages·2003·8.413 MB·English
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Data mining and data modelling are under fast development. Because of their wide applications and research contents, many practitioners and academics are attracted to work in these areas. With a view to promoting communication and collaboration among the practitioners and researchers in Hong Kong, a workshop on data mining and modelling was held in June 2002. Prof Ngaiming Mok, Director of the Institute of Mathematical Research, The University of Hong Kong, and Prof Tze Leung Lai (Stanford University), C.V. Starr Professor of the University of Hong Kong, initiated the workshop. This work contains selected papers presented at the workshop. The papers fall into two main categories: data mining and data modelling. Data mining papers deal with pattern discovery, clustering algorithms, classification and practical applications in the stock market. Data modelling papers treat neural network models, time series models, statistical models and practical applications.
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