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A Data Warehouse-Based Approach for Quality Management, Analysis and Evaluation of Intelligent Systems using Subgroup Mining

机译:基于数据仓库的质量管理方法,使用子组采矿的智能系统的质量管理,分析和评估

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Quality management, analysis and evaluation of intelligent systems are important tasks. This paper proposes a data mining approach based on the technique of subgroup mining utilizing a data warehouse that contains data from the respective intelligent system to be evaluated and from other external sources. The context of our work is given by an intelligent documentation and consultation system in the medical domain of sonography. For demonstrating the applicability and benefit of the presented approach, we provide several real-world examples of a case-study applying the approach in the medical domain of sonography.
机译:智能系统的质量管理,分析和评估是重要的任务。本文提出了一种基于使用数据仓库的子组挖掘技术的数据挖掘方法,该数据仓库包含来自各个智能系统的数据待评估和从其他外部来源。我们的工作的背景是由超声检查的医学领域的智能文档和咨询系统给出。为了证明所提出的方法的适用性和益处,我们提供了几个实际的实例,其案例研究应用了超声检查的医学领域的方法。

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