prikaz prve stranice dokumenta Postupci za učenje asocijativnih pravila
No public access
undergraduate thesis
Postupci za učenje asocijativnih pravila
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:112804
Smoljanić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Smoljanić, M. (2017). Postupci za učenje asocijativnih pravila (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:112804

Smoljanić, Marin. "Postupci za učenje asocijativnih pravila." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:112804

Smoljanić, Marin. "Postupci za učenje asocijativnih pravila." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:112804

Smoljanić, M. (2017). 'Postupci za učenje asocijativnih pravila', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:112804

Smoljanić M. Postupci za učenje asocijativnih pravila [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:112804

M. Smoljanić, "Postupci za učenje asocijativnih pravila", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:112804

Metadata
TitlePostupci za učenje asocijativnih pravila
Title (english)Association Rules Learning Methods
AuthorMarin Smoljanić
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberDavor Kukolja (član povjerenstva)
Committee memberMartin Soldić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Asocijativna pravila pogodna su za pronalaženje relacijskih odnosa između više varijabli u velikim skupovima podataka. Odnosi između varijabli, takozvana asocijativna pravila, izvode se u obliku implikacija AKO-ONDA. Najčešće korišteni algoritmi generiranja asocijativnih pravila su Apriori, FP-Growth, Tertius, Eclat i OPUS. U okviru ovog rada opisani su principi rada algoritama Apriori i FP-Growth te je opisan postupak implementacija algoritma Apriori unutar sustava za upravljanje podatcima imena Splunk. U konačnici vlastita implementacija algoritma Apriori uspoređena je na više skupova podataka sa postojećom implementacijom istog algoritma u aplikaciji imena Weka.
Abstract (english)
The association rules are suitable for finding relationships between multiple variables in large sets of data. Relationships between variables, so-called association rules, are derived in the form of IF-THEN implications. The most commonly used algorithms for generating association rules are Apriori, FP- Growth, Tertius, Eclat and OPUS. This thesis describes the principles of Apriori and FP-Growth algorithms and also describes the procedure of Apriori algorithm implementation within Splunk data management system. Results of Splunk implementation of the Apriori algorithm are compared to multiple data sets with the existing implementation of the same algorithm in the Weka application.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:112804
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2019-03-14 00:48:41