Adaptive Business Intelligence


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Details if other :. Thanks for telling us about the problem. Return to Book Page. Adaptive Business Intelligence by Zbigniew Michalewicz ,.

Martin Schmidt. 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 wha In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools.

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Business intelligence - Wikipedia

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.

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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.

Get A Copy. Published December 1st by Springer first published January 1st More Details Original Title. Other Editions 4. Friend Reviews. To see what your friends thought of this book, please sign up.


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An agile approach to Business Intelligence & Analytics development

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References to own work may be included in the paper, as long as referred to in the third person. All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference. The registration fee is the same for regular and short papers.

In case of acceptance authors will have the same time for paper presentation. Prospective authors should select the thematic track to which their paper is to be submitted. Important Dates.

Organizing Committee. Program Committee. All rights reserved. EPIA Tuesday, September 24, Knowledge Discovery and Business Intelligence KDBI In this age of big data, business organizations moving towards decision-making processes that are based on data-driven models. Latest News.

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