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Intelligent Data Engineering and Learning (IDEAL 98): Perspectives on Financial Engineering and Data Mining

Intelligent Data Engineering and Learning (IDEAL 98): Perspectives on Financial Engineering and Data Mining

          
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About the Book

IDEAL 98 contains over 50 original contributions presenting some of the most recent development in data engineering: data processing, data analysis, and knowledge acquisition, with a particular focus on Financial Engineering and Data Mining. More specifically, these proceedings examine the following aspects of this emerging field, including: Under "Financial Engineering" - Stock and Portfolio Management; Genetic Algorithms for Computational Finance; Exchange Rate Prediction; Financial Applications. Under "Data Mining" - Probabilistic Learning; Clustering and Classification; Rule Extraction; Evolutionary Computing in Data Mining; Data Mining Applications. This volume is ideal for researchers, scientists, engineers, as well as other professionals who are interested in intelligent data engineering.

Table of Contents:
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.


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Product Details
  • ISBN-13: 9789814021234
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Verlag, Singapore
  • Height: 235 mm
  • No of Pages: 436
  • Series Title: English
  • Weight: 680 gr
  • ISBN-10: 9814021237
  • Publisher Date: 01 Dec 1998
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Perspectives on Financial Engineering and Data Mining
  • Width: 155 mm


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Intelligent Data Engineering and Learning (IDEAL 98): Perspectives on Financial Engineering and Data Mining
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