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Adaptive Business Intelligence / by Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, Constantin Chiriac

データ種別	電子ブック
版	1st ed. 2006.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2006
大きさ	XIII, 246 p : online resource
著者標目	*Michalewicz, Zbigniew author Schmidt, Martin author Michalewicz, Matthew author Chiriac, Constantin author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0003545	Computer Scinece R0 2005-6,2022-3				9783540329299

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一般注記	Complex Business Problems -- Characteristics of Complex Business Problems -- An Extended Example: Car Distribution -- Adaptive Business Intelligence -- Prediction and Optimization -- Prediction Methods and Models -- Modern Optimization Techniques -- Fuzzy Logic -- Artificial Neural Networks -- Other Methods and Techniques -- Adaptive Business Intelligence -- Hybrid Systems and Adaptability -- Car Distribution System -- Applying Adaptive Business Intelligence -- Conclusions 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 HTTP:URL=https://doi.org/10.1007/978-3-540-32929-9
件　名	LCSH:Artificial intelligence LCSH:Business information services LCSH:Operations research LCSH:Application software LCSH:Data mining FREE:Artificial Intelligence FREE:IT in Business FREE:Operations Research and Decision Theory FREE:Computer and Information Systems Applications FREE:Data Mining and Knowledge Discovery
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00002933
ISBN	9783540329299