prikaz prve stranice dokumenta Market basket analysis using data mining supported by association rules algorithm
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master's thesis
Market basket analysis using data mining supported by association rules algorithm
Zagreb: University of Zagreb, Faculty of Economics and Business, 2021. urn:nbn:hr:148:319638
Đurić, Anja
University of Zagreb
Faculty of Economics and Business
Department of Informatics

Institutional repository: REPEFZG

Cite this document

Đurić, A. (2021). Market basket analysis using data mining supported by association rules algorithm (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:319638

Đurić, Anja. "Market basket analysis using data mining supported by association rules algorithm." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2021. https://urn.nsk.hr/urn:nbn:hr:148:319638

Đurić, Anja. "Market basket analysis using data mining supported by association rules algorithm." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2021. https://urn.nsk.hr/urn:nbn:hr:148:319638

Đurić, A. (2021). 'Market basket analysis using data mining supported by association rules algorithm', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 08 August 2024, https://urn.nsk.hr/urn:nbn:hr:148:319638

Đurić A. Market basket analysis using data mining supported by association rules algorithm [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2021 [cited 2024 August 08] Available at: https://urn.nsk.hr/urn:nbn:hr:148:319638

A. Đurić, "Market basket analysis using data mining supported by association rules algorithm", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:148:319638

Metadata
TitleMarket basket analysis using data mining supported by association rules algorithm
Title (croatian)Analiza tržišne košarice rudarenjem podataka potpomognuta algoritmom pravila pridruživanja
AuthorAnja Đurić
MentorMirjana Pejić Bach (mentor)
MBZ: 213892
Committee memberBožidar Jaković (predsjednik povjerenstva)
Committee memberIvan Strugar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2021-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Data mining is one of the fundamental parts of knowledge discovery, and it holds an essential role in today's business environment. Its ability to process and analyze large sets of data enables faster and more accurate results on a given topic. The findings are used for further development of the model and commonly support the decision-making process and management roles. This paper aims to showcase a practical use case involving market basket analysis and how it aids the decision-making process. The end goal is to explain how data mining supported by association rules algorithm helps businesses grow by providing them with insightful information discovered from their current database.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:148:319638
Study programmeTitle: Business economics : managerial informatics; specializations in: Managerial informatics
Course: Managerial informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-06-28 19:57:01