Advances in data mining and modeling, Hong Kong, 27-28 June 2002 (World Scientific, 2003)
"A two-day workshop on data mining and modeling was held on 27-28 June 2002. ... This book contains selected papers presented in the workshop."--Pref., p. vii
Includes bibliographical references
Data Mining; Data Modeling; Preface; Author Index; Algorithms for Mining Frequent Sequences Ben Kao and Ming-Hua Zhang; High Dimensional Feature Selection for Discriminant Microarray Data Analysis Ju-Fu Feng, Jiang-Xin Shi and Qing-Yun Shi; Clustering and Cluster Validation in Data Mining Joshua Zhe-Xue Huang, Hong-Qiang Rong, Jessica Ting, Yun-Ming Ye and Qi-Ming Huang; Cluster Analysis Using Unidimensional Scaling Pui-Lam hung , Chi-Yin Li and Kin-Nam Lau; Automatic Stock Trend Prediction by Real Time News Gabriel Pui-Cheong Fung, Jeffrey Xu Yu and Wai Lam
Data mining and data modeling are hot topics and are under fast development. Because of their wide applications and rich 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 modeling 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 work