Using Advanced Data Mining And Integration In Environmental Prediction Scenarios

• Main Authors: Habala Ondrej, Ladislav Hluchy, Viet Tran, Peter Krammer, Martin Seleng
• Format: Article
• Language: English
• Published: AGH University of Science and Technology Press 2012-01-01
• Series: Computer Science
• Subjects: data mining; data integration; meteorology; hydrology
• Online Access: http://journals.agh.edu.pl/csci/article/download/29/22
• ISSN: 1508-2806

We present one of the meteorological and hydrological experiments performed in the FP7 project ADMIRE. It serves as an experimental platform for hydrologists, and we have used it also as a testing platform for a suite of advanced data integration and data mining (DMI) tools, developed within ADMIRE. The idea of ADMIRE is to develop an advanced DMI platform accessible even to users who are not familiar with data mining techniques. To this end, we have designed a novel DMI architecture, supported by a set of software tools, managed by DMI process descriptions written in a specialized high-level DMI language called DISPEL, and controlled via several different user interfaces, each performing a different set of tasks and targeting different user group.