Adaptive Business Intelligence
Edition: 1 edition
Publisher: Springer
Published: November 29, 2006
Language: eng
Format: Hardcover
Number of pages: 246
ISBN-13: 9783540329282
Subjects: Mathematics; Computers; Artificial Intelligence - General; Science; Computer Books: General; General; Computer Science; Adaptive business intelligence; Bioinspired computing; Commercial applications; Computers / Artificial Intelligence; Heuristics; Optimization; Prediction; Soft computing; Data processing; Decision making; Industrial management; Information technology; Management
Description: 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.