Uporaba umetne inteligence za analizo podatkovih baz : diplomsko delo

Lokmić, Benjamin

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Title:	Uporaba umetne inteligence za analizo podatkovih baz : diplomsko delo
Authors:	ID Lokmić, Benjamin (Author) ID Jereb, Borut (Mentor) More about this mentor... ID Orel Šanko, Nena (Comentor)
Files:	VS_Lokmic_Benjamin_2024.pdf (2,53 MB) MD5: F0958CE4182C05534455B1BACB635971
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FL - Faculty of Logistic
Abstract:	Diplomsko delo se osredotoča na uporabo umetne inteligence, natančneje modela GPT-4o, za analizo treh podatkovnih baz, ki vključujejo meritve koncentracij črnega ogljika, prometne podatke in meteorološke podatke. Glavni namen raziskave je raziskati, kako umetna inteligenca omogoča učinkovito obdelavo teh podatkov, ter izvesti analizo vzorcev in korelacij med prometnimi konicami, ravnjo onesnaženja in vremenskimi pogoji. V raziskavi so uporabljeni podatki, zbrani v desetdnevnem obdobju na različnih lokacijah glede na oddaljenost od ceste. Osrednja naloga raziskave sta združevanje teh različnih podatkovnih nizov in preučevanje, kako lahko GPT-4o prispeva k hitrejši in zanesljivejši analizi teh podatkov. Poleg tega raziskava proučuje potencial umetne inteligence pri izboljšanju tradicionalnih pristopov za analizo okoljskih podatkov, zlasti kar zadeva natančnost, hitrost obdelave in prepoznavanje povezav med analiziranimi podatkovnimi bazami.
Keywords:	umetna inteligenca, GPT-4o, obdelava podatkov
Place of publishing:	Celje
Place of performance:	Celje
Publisher:	B. Lokmić
Year of publishing:	2024
Number of pages:	XII, 79 str.
PID:	20.500.12556/DKUM-90829
UDC:	007:004(043.2)
COBISS.SI-ID:	216736771
Publication date in DKUM:	27.11.2024
Views:	306
Downloads:	67
Metadata:
Categories:	FL
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Licences

License:	CC BY-ND 4.0, Creative Commons Attribution-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nd/4.0/
Description:	Under the NoDerivatives Creative Commons license one can take a work released under this license and re-distribute it, but it cannot be shared with others in adapted form, and credit must be provided to the author.
Licensing start date:	26.09.2024

Secondary language

Language:	English
Title:	Use of artificial intelligence for database analysis
Abstract:	This thesis focuses on the use of artificial intelligence, specifically the GPT-4o model, for analyzing three datasets that include black carbon concentration measurements, traffic data, and meteorological data. The primary goal of the research is to explore how artificial intelligence can facilitate the efficient processing of these data and the identification of patterns and correlations between traffic peaks, pollution levels, and weather conditions. The study uses data collected over a ten-day period at various locations, depending on their distance from the road. The central task of the research is to integrate these different datasets and examine how GPT-4o can contribute to faster and more reliable data analysis. Additionally, the research explores the potential of artificial intelligence in improving traditional approaches to environmental data analysis, particularly in terms of accuracy, processing speed, and recognizing relationships between the analyzed datasets.
Keywords:	artificial intelligence, GPT-4o, data analysis

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