Details

Adaptive Business Intelligence

von: Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac
CHF 55.50
Verlag:	Springer
Format:	PDF
Veröffentl.:	02.12.2006
ISBN/EAN:	9783540329299
Sprache:	englisch
Anzahl Seiten:	246

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Beschreibungen

Titelbeschreibung

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 decision right now? 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.

Inhaltsverzeichnis

Complex Business Problems.- Characteristics of Complex Business Problems.- An Extended Example: Car Distribution.- Adaptive Business Intelligence.- Prediction and Optimization.- Prediction Methods and Models.- Modern Optimization Techniques.- Fuzzy Logic.- Artificial Neural Networks.- Other Methods and Techniques.- Adaptive Business Intelligence.- Hybrid Systems and Adaptability.- Car Distribution System.- Applying Adaptive Business Intelligence.- Conclusions.

Sonderbeitrag

The book combines a variety of predictive data mining techniques with modern heuristic optimization techniques, explaining core concepts in a manner aimed at the non-expert reader (business manager, student, researcher from outside computer science, etc.), and we are not aware of a similar content-style mix in any existing title. Includes supplementary material: sn.pub/extras

Verkaufsargumente

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.