his paper describes our contribution to the research of parametrized models and methods for detection and prediction of significant meteorological phenomena, especially fog and low cloud cover. The project covered methods for integration of distributed meteorological data necessary for running the prediction models, training models and then mining the data in order to be able to efficiently and quickly predict even sparsely occurring phenomena. The detection and prediction methods are based on knowledge discovery -- data mining of meteorological data using neural networks and decision trees. The mined data were mainly METAR aerodrome messages, meteorological data from specialized stations and cloud data from special airport sensors -- laser ceilometers.
Publié le : 2013-01-30
Classification:
Meteorological prediction, aviation, fog, cloudiness, data mining,
68T30, 68T05, 68T10
@article{cai1326,
author = {Juraj Bartok; MicroStep-MIS, s.r.o., \v Cavojsk\'eho 1, 841 08 Bratislava and Franti\v sek Babi\v c; Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering nd Informatics, Technical University Ko\v sice and Peter Bedn\'ar; Centre for Information Technologies, Faculty of Electrical Emgineering and Informatics, Technical University Ko\v sice and J\'an Parali\v c; Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering nd Informatics, Technical University Ko\v sice and Jozef Kov\'a\v c; Centre for Information Technologies, Faculty of Electrical Emgineering and Informatics, Technical University Ko\v sice and Ivana Bartokov\'a; MicroStep-MIS, s.r.o., \v Cavojsk\'eho 1, 841 08 Bratislava and Ladislav Hluch\'y; Institute of Informatics, Slovak Academy of Sciences, Bratislava and Martin Gera; Department of Astronomy, Physics of the Earth and Meteorology, Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava},
title = {Data Mining for Fog Prediction and Low Clouds Detection},
journal = {Computing and Informatics},
volume = {31},
number = {6},
year = {2013},
language = {en},
url = {http://dml.mathdoc.fr/item/cai1326}
}
Juraj Bartok; MicroStep-MIS, s.r.o., Čavojského 1, 841 08 Bratislava; František Babič; Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering nd Informatics, Technical University Košice; Peter Bednár; Centre for Information Technologies, Faculty of Electrical Emgineering and Informatics, Technical University Košice; Ján Paralič; Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering nd Informatics, Technical University Košice; Jozef Kováč; Centre for Information Technologies, Faculty of Electrical Emgineering and Informatics, Technical University Košice; Ivana Bartoková; MicroStep-MIS, s.r.o., Čavojského 1, 841 08 Bratislava; Ladislav Hluchý; Institute of Informatics, Slovak Academy of Sciences, Bratislava; Martin Gera; Department of Astronomy, Physics of the Earth and Meteorology, Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava. Data Mining for Fog Prediction and Low Clouds Detection. Computing and Informatics, Tome 31 (2013) no. 6, . http://gdmltest.u-ga.fr/item/cai1326/