LEADER 04095nam 2200625Ia 450 001 9910828813403321 005 20230617035701.0 010 $a1-281-37299-4 010 $a9786611372996 010 $a981-270-495-7 035 $a(CKB)1000000000334414 035 $a(EBL)296058 035 $a(OCoLC)183266712 035 $a(SSID)ssj0000098393 035 $a(PQKBManifestationID)11130958 035 $a(PQKBTitleCode)TC0000098393 035 $a(PQKBWorkID)10132190 035 $a(PQKB)11447429 035 $a(MiAaPQ)EBC296058 035 $a(WSP)00005260 035 $a(Au-PeEL)EBL296058 035 $a(CaPaEBR)ebr10173949 035 $a(CaONFJC)MIL137299 035 $a(EXLCZ)991000000000334414 100 $a20030806d2003 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in data mining and modeling, Hong Kong, 27-28 June 2002$b[electronic resource] /$feditors, Wai-Ki Ching, Michael Kwok-Po Ng 210 $aSingapore ;$aRiver Edge, NJ $cWorld Scientific$d2003 215 $a1 online resource (197 p.) 300 $a"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. 311 $a981-238-354-9 320 $aIncludes bibliographical references. 327 $aCONTENTS; 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 327 $aFrom Associated Implication Networks to Intermarket Analysis Phil Chi- Wang Tse and Ji-Ming Liu Automating Technical Analysis Philip Leung-Ho Yu, Kin Lam and Sze-Hong Ng; A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting Rong-Bo Huang, Yiu-Ming Cheung and Lap-Tak Law; Learning Sunspot Series Dynamics by Recurrent Neural Networks Leong-Kwan Li; Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm Zhi-Yong Liu, Kai-Chun Chiu and Lei Xu 327 $aAn Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences Wai-Ki Ching, Eric Siu-Leung Fung and Michael Kwok-Po Ng An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data Kevin Kin-Foon Wong and Chun-Shan Wong; Bond Risk and Return in the SSE Long-Zhen Fan; Mining Loyal Customers: A Practical Use of the Repeat Buying Theory Hing-Po Lo, Xiao-Ling Lu and Zoe Sau-Chun Ng 330 $aData 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 606 $aData mining$vCongresses 606 $aDatabase searching 615 0$aData mining 615 0$aDatabase searching. 676 $a005.741 676 $a006.312 701 $aChing$b Wai Ki$f1969-$0298394 701 $aNg$b Michael K$0298395 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828813403321 996 $aAdvances in data mining and modeling, Hong Kong, 27-28 June 2002$94010421 997 $aUNINA