Using Advanced Data Mining And Integration In Environmental Prediction Scenarios
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 ADM...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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AGH University of Science and Technology Press
2012-01-01
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| Series: | Computer Science |
| Subjects: | |
| Online Access: | http://journals.agh.edu.pl/csci/article/download/29/22 |
| _version_ | 1831681255633059840 |
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| author | Habala Ondrej Ladislav Hluchy Viet Tran Peter Krammer Martin Seleng |
| author_facet | Habala Ondrej Ladislav Hluchy Viet Tran Peter Krammer Martin Seleng |
| author_sort | Habala Ondrej |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T05:53:15Z |
| format | Article |
| id | doaj.art-898576c918ee499b8d7385b42faa075c |
| institution | Directory Open Access Journal |
| issn | 1508-2806 |
| language | English |
| last_indexed | 2024-12-20T05:53:15Z |
| publishDate | 2012-01-01 |
| publisher | AGH University of Science and Technology Press |
| record_format | Article |
| series | Computer Science |
| spelling | doaj.art-898576c918ee499b8d7385b42faa075c2022-12-21T19:51:07ZengAGH University of Science and Technology PressComputer Science1508-28062012-01-01131510.7494/csci.2012.13.1.5Using Advanced Data Mining And Integration In Environmental Prediction ScenariosHabala Ondrej0Ladislav Hluchy1Viet Tran2Peter Krammer3Martin Seleng4Institute of Informatics of the Slovak Academy of Sciences, BratislavaInstitute of Informatics of the Slovak Academy of Sciences, BratislavaInstitute of Informatics of the Slovak Academy of Sciences, BratislavaInstitute of Informatics of the Slovak Academy of Sciences, BratislavaInstitute of Informatics of the Slovak Academy of Sciences, BratislavaWe 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.http://journals.agh.edu.pl/csci/article/download/29/22data miningdata integrationmeteorologyhydrology |
| spellingShingle | Habala Ondrej Ladislav Hluchy Viet Tran Peter Krammer Martin Seleng Using Advanced Data Mining And Integration In Environmental Prediction Scenarios Computer Science data mining data integration meteorology hydrology |
| title | Using Advanced Data Mining And Integration In Environmental Prediction Scenarios |
| title_full | Using Advanced Data Mining And Integration In Environmental Prediction Scenarios |
| title_fullStr | Using Advanced Data Mining And Integration In Environmental Prediction Scenarios |
| title_full_unstemmed | Using Advanced Data Mining And Integration In Environmental Prediction Scenarios |
| title_short | Using Advanced Data Mining And Integration In Environmental Prediction Scenarios |
| title_sort | using advanced data mining and integration in environmental prediction scenarios |
| topic | data mining data integration meteorology hydrology |
| url | http://journals.agh.edu.pl/csci/article/download/29/22 |
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