1999, ISBN: 9814021237, Lieferbar binnen 4-6 Wochen

Internationaler Buchtitel. In englischer Sprache. Verlag: SPRINGER VERLAG GMBH, 436 Seiten, [GR: 27840 - TB/Betriebswirtschaft], [SW: - Computers - Data Base Management], Kartoniert/Bros… Mehr…

Internationaler Buchtitel. In englischer Sprache. Verlag: SPRINGER VERLAG GMBH, 436 Seiten, [GR: 27840 - TB/Betriebswirtschaft], [SW: - Computers - Data Base Management], Kartoniert/Broschiert, Klappentext: 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. TOC: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.<

ISBN: 9789814021234

[ED: Taschenbuch], [PU: SPRINGER VERLAG GMBH], IDEAL 98 contains over 50 original contributions presenting some of the most recent development in data engineering: data processing, data a… Mehr…

[ED: Taschenbuch], [PU: SPRINGER VERLAG GMBH], 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. TOC: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.XII, 436 SeitenVersandfertig in 2-4 Wochen<