Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environment. Adaptive Business Intelligence includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. 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.