在水文预报用例中使用佩服数据挖掘和集成工具

B. Simo, O. Habala, V. Tran, P. Krammer, L. Hluchý
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引用次数: 0

摘要

本文介绍了在基于数据挖掘的水文预测用例中,欧盟钦佩项目创建的数据挖掘和集成(DMI)工具的成功使用。提出了佩服框架的总体体系结构和工具、用于描述分布式工作流的驱散语言、用于构建和执行DMI工作流的基于Eclipse的工作台以及用户门户。然后,我们描述了水文预测用例及其使用钦佩项目工具的实现,并分享了对所描述框架优点的一些想法。
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Using ADMIRE data mining and integration tools in hydrological forecast use case
This paper presents successful use of the data mining and integration (DMI) tools created by the EU ADMIRE project in the data mining based hydrological forecast use case. We present general architecture and tools of the ADMIRE framework, DISPEL language for description of distributed workflows, Eclipse based workbench for DMI workflow construction and execution and user portal. Then we describe the hydrological forecast use case, its implementation using the tools of ADMIRE project and share some thoughts on advantages of the framework described.
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