<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-31NIRH3W</identifier><date>2022</date><creator>Obiedat, Ruba</creator><creator>Toubas, Sara</creator><relation>documents/doc/3/URN_NBN_SI_doc-31NIRH3W_001.pdf</relation><relation>documents/doc/3/URN_NBN_SI_doc-31NIRH3W_001.txt</relation><format format_type="volume">46</format><format format_type="issue">5</format><format format_type="type">article</format><format format_type="extent">str. 49-58</format><identifier identifier_type="DOI">10.31449/inf.v46i5.3839</identifier><identifier identifier_type="COBISSID_HOST">110395651</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-31NIRH3W</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">napovedovanje</subject><subject language_type_id="slv">produktivnost</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">storilnost</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A combined approach for predicting employees’ productivity based on ensemble machine learning methods</title></Record>