<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-44UE0MDM</identifier><date>2022</date><creator>Najm, Ihab Ahmed</creator><relation>documents/doc/4/URN_NBN_SI_doc-44UE0MDM_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-44UE0MDM_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. 11-19</format><identifier identifier_type="DOI">10.31449/inf.v46i5.3853</identifier><identifier identifier_type="COBISSID_HOST">110370051</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-44UE0MDM</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">podatkovno rudarjenje</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">umetna inteligenca</subject><title>OLAP mining with educational data mart to predict students’ performance</title></Record>