Adaptive Business Intelligence

  • Zbigniew Michalewicz
  • Martin Schmidt
  • Matthew Michalewicz
  • Constantin Chiriac

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Complex Business Problems

  3. Prediction and Optimization

    1. Front Matter
      Pages 47-47
    2. Pages 117-129
  4. Adaptive Business Intelligence

    1. Front Matter
      Pages 175-175
    2. Pages 191-213
    3. Pages 239-242
  5. Back Matter
    Pages 243-246

About this book


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.


Adaptive business intelligence Bioinspired computing Business Intelligence Commercial applications Fuzzy Heuristics Prediction Soft computing artificial intelligence artificial neural network data mining fuzzy systems genetic programming optimization programming

Authors and affiliations

  • Zbigniew Michalewicz
    • 1
  • Martin Schmidt
    • 2
  • Matthew Michalewicz
    • 2
  • Constantin Chiriac
    • 2
  1. 1.School of Computer ScienceUniversity of AdelaideAdelaideAustralia
  2. 2.SolveIT Software Pty LtdAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-32928-2
  • Online ISBN 978-3-540-32929-9
  • Buy this book on publisher's site