<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-6V1EKBL6</identifier><date>2024</date><creator>Li, Yongzhou</creator><creator>Yao, Cenglin</creator><relation>documents/doc/6/URN_NBN_SI_doc-6V1EKBL6_001.pdf</relation><relation>documents/doc/6/URN_NBN_SI_doc-6V1EKBL6_001.txt</relation><format format_type="volume">48</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 113-122</format><identifier identifier_type="DOI">10.31449/inf.v48i7.5775</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">215028995</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-6V1EKBL6</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dinamični model KDR</subject><subject language_type_id="slv">interpolacija podatkov</subject><subject language_type_id="slv">obdelava podatkov</subject><subject language_type_id="slv">singularna dekompozicija</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">veliki podatki</subject><title>Interpolation analysis of industrial big data based on KDR knowledge recognition algorithm considering singular value decomposition theory</title></Record>