Intelligent Data Engineering and Learning (IDEAL 98)

Archetypal papers include: Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (VI): Convex Divergence, Convex Entropy and Convex Likelihood (Lei Xu); Prediction of the Euro-Dollar Future Using Neural Networks - A Case Study for Financial Time Series Prediction (A Diekmann & S Gutjahr); State Probability Extraction using Illiquid Option Prices (F Gonzalez Miranda & AN Burgess); Toward an Effective Implementation of Genetic Algorithm in the Geometric Brownian Motion Exchange Rate Model (SH Chen et al.); Multivariate Data Analysis to Shanghai Stock Market (Zhongxing Ye et al.); Mining Frequent Traversal Patterns in a Web Environment (Show-Jane Yen); Learning to Predict with a Probabilistic Representation (J Chung & Z Bandar); A Data Mining Model for Query Refinement Revisited (Hanxiong Chen et al.); Cooperative Mining of Patient Data (Junping Du et al.); Maximal Margin Classification using the KA Algorithm (C Campbell et al.); Concept Formation from Databases (T Miura & I Shioya); and other papers.