Adaptive Business Intelligence

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. This book explains the science and application of numerous prediction and optimization techniques, and shows how they can be used to develop adaptive systems.

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes 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.

• | Author: Constantin Chiriac, Zbigniew Michalewicz, Matthew Michalewicz, Martin Schmidt
• | Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• | Publication Date: Nov 10, 2006
• | Number of Pages:
• | Language:
• | Binding: Hardback
• | ISBN-13: 9783540329282
• | ISBN-10: 3540329285