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master's thesis
Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa
2022. urn:nbn:hr:168:128520
Precali, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Precali, I. (2022). Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:128520

Precali, Ivan. "Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:128520

Precali, Ivan. "Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:128520

Precali, I. (2022). 'Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 March 2023, https://urn.nsk.hr/urn:nbn:hr:168:128520

Precali I. Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2023 March 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:128520

I. Precali, "Detekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:128520

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Metadata
TitleDetekcija neuobičajenog korisničkog ponašanja za usluge strujanja videa
Title (english)Detection of Anomalous User Behavior for Video Streaming Services
AuthorIvan Precali
MentorTomislav Petković (mentor)
Committee memberTomislav Petković (predsjednik povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
Committee memberJuraj Petrović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U diplomskom radu se obrađuje detekcija nepoželjnog korisničkog ponašanja u uslugama strujanja videa na specifičnom skupu podatak. Rad je podijeljen u dva dijela. Prvi dio opisuje teorijsku pozadinu usluga strujanja videa, definira nepoželjno korisničko ponašanje i opisuje algoritme za detekciju stršećih vrijednosti koji se koriste u implementaciji. Drugi dio rada je opis skupa podataka korištenih u implementaciji, statistička analiza podataka korisničkog ponašanja unutar danog skupa podataka i rezultati implementacije algoritma opisanog u prvom djelu nad danim skupom podataka.
Abstract (english)
The thesis deals with the detection of anomalous user behavior in video streaming services on a specific data set. The paper is divided into two parts. The first part describes the theoretical background of video streaming services, defines anomalous user behavior, and the describes outlier detection algorithms used in the implementation. The second part of the paper is a description of the data set used in the implementation, statistical analysis of user behavior data within a given data set and the results of the implementation of the algorithm described in the first part on a given data set.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:128520
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
Access conditionsClosed access
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Created on2023-01-13 13:34:00