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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, Ecl...

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Main Authors: Simo, B., Habala, O., Tran, V., Krammer, P., Hluchy, L.
Format: Conference Proceeding
Language:English
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Habala, O.
Tran, V.
Krammer, P.
Hluchy, L.
description 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.
doi_str_mv 10.1109/INES.2011.5954747
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subjects Computer architecture
Data mining
Data models
Data visualization
Distributed databases
Logic gates
Portals
title Using ADMIRE data mining and integration tools in hydrological forecast use case
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