<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-SIGKZE3N</identifier><date>2022</date><creator>Rahman, Atta-ur-</creator><relation>documents/doc/S/URN_NBN_SI_doc-SIGKZE3N_001.pdf</relation><relation>documents/doc/S/URN_NBN_SI_doc-SIGKZE3N_001.txt</relation><format format_type="volume">46</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 21-31</format><identifier identifier_type="DOI">10.31449/inf.v46i6.3827</identifier><identifier identifier_type="COBISSID_HOST">122864643</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-SIGKZE3N</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">geografski informacijski sistemi</subject><subject language_type_id="slv">gručenje</subject><subject language_type_id="slv">odločanje</subject><subject language_type_id="slv">podatkovno rudarjenje</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">vizualizacija podatkov</subject><title>Geo-spatial disease clustering for public health decision making</title></Record>