<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-0MGI1RWQ</identifier><date>2023</date><creator>Awad, Fouad H.</creator><creator>Hamad, Murtadha M.</creator><relation>documents/doc/0/URN_NBN_SI_doc-0MGI1RWQ_001.pdf</relation><relation>documents/doc/0/URN_NBN_SI_doc-0MGI1RWQ_001.txt</relation><format format_type="volume">47</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 203-218</format><identifier identifier_type="DOI">10.31449/inf.v47i6.4445</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">208113667</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-0MGI1RWQ</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">gručenje</subject><subject language_type_id="slv">metodologije</subject><subject language_type_id="slv">skladnost</subject><subject language_type_id="slv">stroški</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">veliki podatki</subject><title>Big data clustering techniques challenges and perspectives</title><title>review</title></Record>