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master's thesis
Analiza podataka o bankovnim transakcijama u stvarnom vremenu
2022. urn:nbn:hr:168:691518
Novak, Helena
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Novak, H. (2022). Analiza podataka o bankovnim transakcijama u stvarnom vremenu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:691518

Novak, Helena. "Analiza podataka o bankovnim transakcijama u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:691518

Novak, Helena. "Analiza podataka o bankovnim transakcijama u stvarnom vremenu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:691518

Novak, H. (2022). 'Analiza podataka o bankovnim transakcijama u stvarnom vremenu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:691518

Novak H. Analiza podataka o bankovnim transakcijama u stvarnom vremenu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:691518

H. Novak, "Analiza podataka o bankovnim transakcijama u stvarnom vremenu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:691518

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Metadata
TitleAnaliza podataka o bankovnim transakcijama u stvarnom vremenu
Title (english)Real-time Analysis of Banking Transaction Data
AuthorHelena Novak
MentorDamir Pintar (mentor)
Committee memberDamir Pintar (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberMihaela Vranić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sklopu ovog rada napravljena je analiza o podacima vezanim za bankovne transakcije. Objašnjen je pojam strujećih podataka, odnosno objašnjeni su podaci u stvarnom vremenu. Opisan je pregled tehnologije u analizi strujećih podataka te koje su prednosti korištenja Kafka tehnologije. U radu je napravljena analiza podataka o bankovnim transakcijama te su izgrađeni klasifikatori pomoću metoda strojnog učenja. Općenito je na slučaju podataka o transakcijama implementiran sustav detekcije prijevara korištenjem Apache Kafka tehnologije. Objašnjen je mehanizam i konfiguracija detekcije prijevare te su prikazani rezultati.
Abstract (english)
As part of this paper, an analysis of data related to banking transactions was made. The streaming analytics is explained, ie real-time data is explained. An overview of the technology in the analysis of real-time data is given and the advantages of using Kafka technology is described. In the paper banking transactions data was analyzed and classifiers were made using machine learning methods. In general, a fraud detection system has been implemented using Apache Kafka in the case of transaction data. The mechanism and configuration of fraud detection is explained and the results are presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:691518
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 15:43:58