1. Data mining and integration for predicting significant meteorological phenomena
Title : Data mining and integration for predicting significant meteorological phenomena
Author : \q12*sav_un_auth*1 0158275 \q \q1013 sav_un_auth*0158275 \d Bartok Juraj \q
Co-authors : \q12*sav_un_auth*1 0085932 \q \q1013 sav_un_auth*0085932 \d Habala Ondrej \q SAVINFO - Ústav informatiky SAV
: \q12*sav_un_auth*1 0015638 \q \q1013 sav_un_auth*0015638 \d Bednár P. \q
: \q12*sav_un_auth*1 0001404 \q \q1013 sav_un_auth*0001404 \d Gažák Martin \q SAVINFO - Ústav informatiky SAV
: \q12*sav_un_auth*1 0000452 \q \q1013 sav_un_auth*0000452 \d Hluchý Ladislav 1952- \q SAVINFO - Ústav informatiky SAV
Source document : \q12**1 131366 \q ICCS 2010 : proceedings of the 10th International Conference on Computational Science. Vol. 1, iss. 1, p. 37-46. - Amsterdam : Elsevier, 2010 / \q12*sav_un_auth*1 0155899 \q Sloot Peter M. A. ; \q12*sav_un_auth*1 0156985 \q van Albada Geert Dick ; \q12*sav_un_auth*1 0007641 \q Dongarra Jack ; International Conference on Computational Science ICCS 2010
Category : AEC - Scientific papers in foreign peer-reviewed proceedings, monographs
Category of document (from 2022) : V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
Type of document : príspevok
Year : 2010
DOI : 10.1016/j.procs.2010.04.006