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Title:Analiza podatkov sistema SUMO s pomočjo storitev računalništva v oblaku : magistrsko delo
Authors:ID Lenko, Miha (Author)
ID Zorman, Milan (Mentor) More about this mentor... New window
ID Souvent, Andrej (Comentor)
Files:.pdf MAG_Lenko_Miha_2022.pdf (6,90 MB)
MD5: 19E56D6002F4E0551E356189E58CC579
PID: 20.500.12556/dkum/6445a47d-9cc3-440f-9f70-4bfea39e8feb
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V želji po izboljšanju napovedi vremenskih podatkov, ki jih za svoje delovanje potrebuje sistem za ugotavljanje meja obratovanja SUMO, smo v sodelovanju s podjetjem Operato d.o.o. raziskali možnosti uporabe računalništva v oblaku za izvajanje strojnega učenja napovednih modelov. Prvi del magistrske naloge je namenjen predstavitvi različnih vrst podatkovnih baz za hrambo podatkov v oblaku ter ponudnikov računalništva v oblaku, ki ponujajo navidezne računalniške vire kot spletno storitev, drugi del pa predstavitvi procesa vzpostavitve izvajalnega okolja za izvedbo analize in strojnega učenja v oblaku.
Keywords:računalništvo v oblaku, podatkovne baze, analiza podatkov, strojno učenje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Lenko]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XII, 102 f.))
PID:20.500.12556/DKUM-81945 New window
UDC:004.6-047.44:004.76(043.2)
COBISS.SI-ID:116055043 New window
Publication date in DKUM:07.07.2022
Views:1020
Downloads:110
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:21.06.2022

Secondary language

Language:English
Title:Analyzing data from SUMO system using cloud computing services
Abstract:In order to improve the forecasting of weather data required for operation of SUMO, an operation limits determining system, we, in cooperation with Operato d.o.o., researched the possibilities of using cloud computing to implement machine learning of predictive models. The first part of the master's thesis is aimed at presenting different types of cloud storage databases and cloud computing providers that offer virtual computing resources as an online service, while the second part presents the process of setting up a computing platform for performing data analysis and machine learning in the cloud.
Keywords:cloud computing, databases, data analysis, machine learning


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