Adaptive Business Intelligence - Couverture rigide

Michalewicz, Zbigniew; Schmidt, Martin; Michalewicz, Matthew; Chiriac, Constantin

Couverture rigide

ISBN 10 : 3540329285 ISBN 13 : 9783540329282

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2006

Synopsis

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. This book explains the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems. The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling. This book is ideal for business and IT managers, for nonspecialists who wish to understand the science behind better predictions and decisions, and for students and researchers who desire a quick introduction to this field.

A propos du livre

Présentation de l'éditeur

In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best course of action? "Adaptive Business Intelligence" includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The authors have considerable academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide. In this book, they explain the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems. The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling. This book is suitable for business and IT managers who make decisions in complex industrial and service environments, nonspecialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to this field.

Revue de presse

"In this book the authors explain the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and service environments, non-specialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to the field." --OpenPR, December, 2006

"We believe that the authors have presented the selected material in a way that meets the interests of their targeted audience. ... These examples show the great potential of the approach that the book presents. ... If contemporary business managers read Adaptive Business Intelligence, we believe that they will become supporters of the proposed intelligent decision-making systems. We complete our review with the optimistic quotation from Chapter 13: "... the future of the business intelligence industry lies in systems that can predict, optimize, and adapt put another way, the future of the industry lies in Adaptive Business Intelligence". Hopefully, this book will speed up our progress to such a future." --Antanas Zilinskas, Vilnius Pedagogical University, Interfaces Int. J. of the Institute for Operations Research and the Management Sciences, 38(3) May June 2008, pp. 212 220

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 2006
• Langue: anglais
• ISBN 10: 3540329285
• ISBN 13: 9783540329282
• Reliure: Relié
• Nombre de pages: 246
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne