自适应业务智能与约束规划集成的一种方法

J. Rubio, Broderick Crawford
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引用次数: 5

摘要

适应性商业智能是一门学科,它将预测、优化和适应性结合到一个系统中,回答两个重要问题:未来可能发生什么?现在什么是更好的决定?要建立这样的系统,首先我们必须了解提供预测、优化和适应性的方法和技术。数百位作者已经研究了商业智能、数据挖掘和预测方法以及优化技术。然而,他们都没有解释如何将这些概念结合到一个能够预测、优化和适应的系统中。在本文中,我们提出了一个工作框架,它允许在自适应商业智能软件的开发中合并约束编程作为自适应商业智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach Towards the Integration of Adaptive Business Intelligent and Constraint Programming
Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happen in the future? and What is the better decision now? To build such system, first of all we must understand methods and techniques that provide prediction, optimization and adaptability. Hundreds of authors have already investigated about business intelligence, data mining and prediction methods and optimization techniques. However, none of them has explained how to combine these concepts into a system that is able to predict, optimize and adapt. In this article we propose a working framework, which allows incorporate constraint programming as adaptive business intelligence, in the development of adaptive business intelligence software.
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