Advances In Data Mining And Modeling

By: Wai Ki Ching (Editor), Michael Kwok-po Ng (Editor)

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Hardcover | 4 April 2003

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196 Pages

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22.86 x 15.88 x 1.91

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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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Non-Fiction Computing & I.T.Databases Data Mining Graphical & Digital Media Applications 3D Graphics & Modelling Mathematics Booktopia Publisher Services World Scientific Publishing Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems

Preface	p. vii
Author Index	p. xiii
Data Mining
Algorithms for Mining Frequent Sequences	p. 1
High Dimensional Feature Selection for Discriminant Microarray Data Analysis	p. 15
Clustering and Cluster Validation in Data Mining	p. 25
Cluster Analysis Using Unidimensional Scaling	p. 40
Automatic Stock Trend Prediction by Real Time News	p. 48
From Associated Implication Networks to Intermarket Analysis	p. 60
Automating Technical Analysis	p. 85
Data Modeling
A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting	p. 97
Learning Sunspot Series Dynamics by Recurrent Neural Networks	p. 107
Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm	p. 116
An Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences	p. 129
An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data	p. 142
Bond Risk and Return in the SSE	p. 152
Mining Loyal Customers: A Practical Use of the Repeat Buying Theory	p. 167
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Advances In Data Mining And Modeling

At a Glance

Hardcover

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How to return your order

Defective items

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