Ideal'98: Intelligent Data Engineering and Learning : Perspectives on Financial Engineering and Data Ming : 1st International Symposium - Brossura

Brossura

ISBN 10: 9814021237 ISBN 13: 9789814021234

Casa editrice: Eureka Pubns, 1998

Riassunto

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.

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Contenuti

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.

Product Description

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Dettagli dell'edizione

• Editore: Eureka Pubns
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 9814021237
• ISBN 13: 9789814021234
• Rilegatura: Copertina flessibile
• Numero di pagine: 436
• Redattore: Xu L., Chang Louis W., King I., Fu W. C.
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania