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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!