Adaptive Business Intelligence (Hardcover)

~ Zbigniew Michalewicz (Author), Martin Schmidt (Author), Matthew Michalewicz (Author), Constantin Chiriac (Author)

Editorial Reviews

Review

"In this book the authors explain the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and service environments, non-specialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to the field." -- OpenPR, December, 2006

From the reviews:

"In this book the authors explain the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and service environments, non-specialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to the field." (OpenPR, December, 2006)

"The authors want to explain why the business intelligence industry can rely on systems that can make good decisions … . The second aim is to point out the principles behind many prediction methods and optimization techniques in simple terms, so that any business manager could grasp and apply them. … The authors third goal is to underscore the enormous applicability of ABI … . the main features, characteristic aspects, and useful arguments that make this book a novelty work and valuable textbook." (Neculai Curteanu, Zentralblatt MATH, Vol. 1122 (24), 2007)

"We believe that the authors have presented the selected material in a way that meets the interests of their targeted audience. ... These examples show the great potential of the approach that the book presents. ... If contemporary business managers read Adaptive Business Intelligence, we believe that they will become supporters of the proposed intelligent decision-making systems. We complete our review with the optimistic quotation from Chapter 13: "... the future of the business intelligence industry lies in systems that can predict, optimize, and adapt – put another way, the future of the industry lies in Adaptive Business Intelligence". Hopefully, this book will speed up our progress to such a future." (Antanas Zilinskas, Vilnius Pedagogical University, Interfaces – Int. J. of the Institute for Operations Research and the Management Sciences, 38(3) May–June 2008, pp. 212–220)

 

Product 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.

Product Details

• Hardcover: 246 pages
• Publisher: Springer; 1 edition (November 29, 2006)
• Language: English
• ISBN-10: 3540329285
• ISBN-13: 978-3540329282
• Product Dimensions: 9.4 x 6.4 x 0.8 inches
• Shipping Weight: 1.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #1,097,994 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

5.0 out of 5 stars Great book for busy managers and students, May 15, 2007

By	Tom (California, USA) - See all my reviews

This is a great book about a new topic called "Adaptive Business Intelligence". It is basically about modern Artificial Intelligence (AI) that is used to solve tough real-life optimization and prediction problems. The authors really know what they are talking about and have many years of business and teaching experience. They are also running a software company specializing in Adaptive Business Intelligence.

I was skeptical when I picked up this book and thought to myself that they can't possibly explain all those modern AI techniques without formulas. However, the book is very easy to read and really does cover modern AI techniques without getting into a lot of nitty gritty details (i.e., no formulas). They also have a detailed real-life example that they frequently refer to. The example is very good and I quickly saw how I could use Adaptive Business Intelligence.

The authors explain everything down to earth and on top of that it was fun to read and also reads well. I also liked that they have some references to other books in case you want to dive into a particular topic.

All in all it's a great book that makes modern science easy to understand for busy people. Even non-technical managers like myself will have no problems understanding the different techniques and how they apply to their own business. I highly recommend this book. It's definitely worth reading!

PS: I borrowed the book to my sister who studies IT in California and she told me that it's a great introduction to modern AI. She actually never returned the book since she kept as a reference for one of her classes.

4.0 out of 5 stars Good introduction, April 21, 2009

By	Randall Mcree (Santa Cruz) - See all my reviews (REAL NAME)

Just right for someone with some technical knowledge who is new to this area. Very readable, simple but not dumbed-down.