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undergraduate thesis
Usporedba algoritama za analizu potrošačke košare
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:485737
Tomić, Josipa
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tomić, J. (2020). Usporedba algoritama za analizu potrošačke košare (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:485737

Tomić, Josipa. "Usporedba algoritama za analizu potrošačke košare." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:485737

Tomić, Josipa. "Usporedba algoritama za analizu potrošačke košare." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:485737

Tomić, J. (2020). 'Usporedba algoritama za analizu potrošačke košare', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:485737

Tomić J. Usporedba algoritama za analizu potrošačke košare [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:485737

J. Tomić, "Usporedba algoritama za analizu potrošačke košare", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:485737

Metadata
TitleUsporedba algoritama za analizu potrošačke košare
Title (english)Comparison of Algorithms for Basket Market Analysis
AuthorJosipa Tomić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-08-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisan je proces analize potrošačke košare. Analiza potrošačke košare uobičajen je primjer pronalaska čestih podskupova velikog skupa elemenata. Pronalaženje čestih podskupova služi otkrivanju asocijativnih veza između elemenata sadržanih u velikoj relacijskoj ili transakcijskoj bazi podataka. U radu su opisani i programski ostvareni neki od najpoznatijih algoritama za pronalaženje čestih podskupova elemenata: A-Priori, FP-growth te ECLAT. Implementirani su algoritmi ispitani na velikom skupu transakcija te su prikazani rezultati izvođenja. Konačno je dana međusobna usporedba rezultata izvođenja programski ostvarenih algoritama i njihovih općih karakteristika.
Abstract (english)
In this paper, process of market basket analysis is described. Market basket analysis is a common example of mining frequent itemsets in a large data set. Mining frequent itemsets is used for discovering association relationships among elements from transactional or relational data sets. In this paper, some of the most popular algorithms for finding frequent itemsets are described and implemented, such as A-Priori, FP-growth and ECLAT. The implemented algorithms are tested on a large set of transactions and the performance results are presented. Finally, a comparison of the performance results of the implemented algorithms and their general characteristics is given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:485737
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 14:03:05