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On Supporting Cross-Platform Statistical Data Analysis Using JADE

机译:用玉石支持跨平台统计数据分析

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Data collected by information systems for decision support in a modern business is very often distributed over different databases on different computing platforms. This fact impedes the practice of cross-functional data analysis. To address this problem, use of data warehouses of various forms has been suggested. However, this approach may not be cost-effective and is time-consuming. Nevertheless, it also requires a lot of efforts on maintaining the data warehouses. In this research we are evaluating the feasibility of applying agent technology to collect and integrate, on a regular and ad hoc basis, data distributed over various computing platforms to facilitate statistical data analysis. The prototype designed for the evaluation is implemented in the JADE development environment.
机译:在现代业务中获取决策支持的信息系统收集的数据通常经常在不同的计算平台上的不同数据库中分发。这一事实阻碍了交叉功能数据分析的做法。为解决这个问题,已经提出了使用各种形式的数据仓库。然而,这种方法可能不具有成本效益并且是耗时的。尽管如此,它还需要大量努力维护数据仓库。在本研究中,我们正在评估应用代理技术在常规和临时基础上收集和整合的可行性,分布在各种计算平台上的数据,以便于统计数据分析。为评估设计的原型是在玉开发环境中实施的。

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