<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-JZOMI69I</identifier><date>2020</date><creator>Vera, Julio César Díaz</creator><relation>documents/doc/J/URN_NBN_SI_doc-JZOMI69I_001.pdf</relation><relation>documents/doc/J/URN_NBN_SI_doc-JZOMI69I_001.txt</relation><format format_type="issue">2</format><format format_type="volume">44</format><format format_type="type">article</format><format format_type="extent">str. 167-181</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v44i2.2839</identifier><identifier identifier_type="COBISSID_HOST">22390531</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-JZOMI69I</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">obdelava podatkov</subject><subject language_type_id="slv">podatkovno rudarjenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Knowledge redundancy approach to reduce size in association rules</title></Record>