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master's thesis
Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike
Zagreb: University of Zagreb, Faculty of Economics and Business, 2020. urn:nbn:hr:148:540949
Kosec, Luka
University of Zagreb
Faculty of Economics and Business
Department of Informatics

Institutional repository: REPEFZG

Cite this document

Kosec, L. (2020). Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:540949

Kosec, Luka. "Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:540949

Kosec, Luka. "Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2020. https://urn.nsk.hr/urn:nbn:hr:148:540949

Kosec, L. (2020). 'Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:148:540949

Kosec L. Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2020 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:148:540949

L. Kosec, "Izrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:148:540949

Metadata
TitleIzrada modela predviđanja fluktuacija zaposlenika korištenjem prediktivne analitike
Title (english)Model for predicting employee fluctuations using predictive analytics
AuthorLuka Kosec
MentorMirjana Pejić Bach (mentor)
Committee memberMirjana Pejić Bach (predsjednik povjerenstva)
Committee memberIvan Strugar (član povjerenstva)
Committee memberJovana Zoroja (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Informatics)
Zagreb
Defense date and country2020-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Ovaj rad bavi se otkrivanjem znanja iz baza podataka na području ljudskih resursa. Globalna digitalizacija utjecala je na iznimno povećanje zapisa podataka te uzrokovala nastajanje novih znanosti i tehnika na području podatkovne znanosti. Razvijaju se razni algoritmi, tehnike i alati prediktivne analitike uz pomoć kojih se poboljšava poslovna strategija u tvrtkama i reduciraju troškovi na svim poljima poslovanja. Otkrivanje znanja u bazama podataka je evoluirajući koncept koji se bavi istraživačkom analizom podataka. Ono ima za zadatak razviti model razumijevanja podataka, izvući znanje iz podataka, kreirati određenje radnje za daljnje postupanje i stvoriti nove podatke za nove modele. Analitika u području ljudskih resursa danas odstupa od tradicionalnih i klasičnih metoda zapošljavanja i vođenja ljudskih resursa te se obraća modernim tehnologijama prediktivne analitike temeljene na konceptu podatkovne znanosti, Velikih podataka, Strojnog učenja te Umjetne inteligencije.
Abstract (english)
This thesis deals with the discovery of knowledge from databases in the field of human resources. Global digitization has led to an extraordinary increase in data records and caused the emergence of new sciences and techniques in the field of data science. Various algorithms, techniques and tools of predictive analytics are being developed with the help of which business strategy in companies is improved and costs are reduced in all fields of business. Knowledge discovery in databases is an evolving concept that deals with research data analysis, which aims to develop a model of understanding data, extract knowledge from data, create action definitions for further action and create new data for new models. Analytics in the field of human resources today deviates from traditional and classical methods of hiring and managing human resources and turns to modern technologies of predictive analytics based on the concept of data science, Big Data, Machine Learning and Artificial Intelligence.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:540949
Study programmeTitle: Business Economics
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 on2020-10-01 00:18:24