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master's thesis
Predikcija vremenskih zapisa u alatu za praćenje vremena
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:162203
Petruša, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Petruša, S. (2019). Predikcija vremenskih zapisa u alatu za praćenje vremena (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:162203

Petruša, Stjepan. "Predikcija vremenskih zapisa u alatu za praćenje vremena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:162203

Petruša, Stjepan. "Predikcija vremenskih zapisa u alatu za praćenje vremena." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:162203

Petruša, S. (2019). 'Predikcija vremenskih zapisa u alatu za praćenje vremena', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:162203

Petruša S. Predikcija vremenskih zapisa u alatu za praćenje vremena [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:162203

S. Petruša, "Predikcija vremenskih zapisa u alatu za praćenje vremena", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:162203

Metadata
TitlePredikcija vremenskih zapisa u alatu za praćenje vremena
Title (english)Time Entry Prediction for a Time Tracking Software
AuthorStjepan Petruša
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberMario Krnić (član povjerenstva)
Committee memberLana Horvat Dmitrović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je bio dizajnirati i testirati novi mikroservis za postojeći alat za praćenje vremena koji će pružati predikcije za vremensko praćenje. Motivacija je bila poboljšanjem iskustva vremenskog praćenja ujedno i poboljšati kvalitetu vremenskih zabilješki i izvještajima o profitabilnosti. Odlučili smo koristiti alat Productive jer je kreiran s ciljem da poboljša profitabilnost tvrtke. Kreirali smo dva algoritma, jedan koji koristi heurističko pretraživanje i drugi koji koristi povratnu neuronsku mrežu. Oba algoritma imaju svoje pozitivne i negativne strane, i za najbolje rezultate hibrid oba algoritma bi se mogao koristiti.
Abstract (english)
The goal of this thesis was to design and test new microservice for an existing time-tracking tool which will provide suggestions for time tracking. Our motivation was that by improving time-tracking experience we could get sounder time entries and reliable profitability reports. We decided to use Productive as our time-tracking tool as it is built around making companies more profitable. We created two different algorithms, one using a heuristic search, and another with a recurrent neural network. Both algorithms had positive and negative sides, and for best performance, a hybrid method could be used.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:162203
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 on2020-01-07 21:20:02