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Data mining and integration for predicting significant meteorological phenomena
Názov Data mining and integration for predicting significant meteorological phenomena Autor Bartok Juraj Spoluautori Habala Ondrej SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Bednár P. Gažák Martin SAVINFO - Ústav informatiky SAV Hluchý Ladislav 1952- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Zdroj.dok. ICCS 2010 : proceedings of the 10th International Conference on Computational Science. Vol. 1, iss. 1, p. 37-46. - Amsterdam : Elsevier, 2010 / Sloot Peter M. A. ; van Albada Geert Dick ; Dongarra Jack ; International Conference on Computational Science ICCS 2010 Jazyk dok. eng - angličtina Krajina NL - Holandsko Druh dok. rozpis článkov z periodík (rzb) Ohlasy KOHAIL, S.N. - EL-HALEES, A.M. Implementation of data mining techniques for meteorological data analysis (A case study for Gaza Strip). In International Journal of Information and Communication Technology Research. ISSN 2223-4985. 2011, vol. 1, no. 3, pp. 96-100. ZHANG, Q. - Li, Y.-Q. 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In 2022 Wave Electronics and its Application in Information and Telecommunication Systems, WECONF 2022 Conference Proceedings, 2022-01-01, pp. Dostupné na: https://doi.org/10.1109/WECONF55058.2022.9803493. PRAVEENA, R. - KALPANA, Y. Improve Villupuram district yield cultivation using recommendation system by machine learning. In AIP Conference Proceedings. 2022, vol. 2426, no. 1. doi: 10.1063/5.0111955. Kategória AEC - Vedecké práce v zahraničných recenzovaných vedeckých zborníkoch (aj konferenčných), monografiách Kategória (od 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Typ výstupu príspevok Rok vykazovania 2010 Registrované v WOS Registrované v SCOPUS DOI 10.1016/j.procs.2010.04.006 
článok
rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2010
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