Using ADMIRE framework and language for data mining and integration in environmental application scenarios

We present the results of applying advanced data integration and data mining (DMI) techniques to several scenarios from the hydro-meteorological area. The technology used has been developed in the context of the FP7 project ADMIRE. It consists of a specialized DMI architecture, a set of tools implem...

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Bibliographic Details
Main Authors: Hluchy, L., Habala, O., Tran, V., Krammer, P., Simo, B.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Data models
Data processing
Distributed databases
Logic gates
Portals
User interfaces
Online Access:Request full text
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Summary:We present the results of applying advanced data integration and data mining (DMI) techniques to several scenarios from the hydro-meteorological area. The technology used has been developed in the context of the FP7 project ADMIRE. It consists of a specialized DMI architecture, a set of tools implementing it, and a custom DMI process description language named DISPEL. We have used it to describe three scenarios defined by local domain experts. The scenarios have been tested with real data, and experimental results confirm the feasibility of using DMI in this area.
DOI:10.1109/FSKD.2011.6020018