<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-H3AZQS86</identifier><date>2025</date><creator>Li, Jianlin</creator><creator>Liu, Wanli</creator><creator>Zhang, Jie</creator><relation>documents/doc/H/URN_NBN_SI_doc-H3AZQS86_001.pdf</relation><relation>documents/doc/H/URN_NBN_SI_doc-H3AZQS86_001.txt</relation><format format_type="issue">16</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 1-20</format><identifier identifier_type="DOI">10.31449/inf.v49i16.7805</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243287555</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-H3AZQS86</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritem naključnih gozdov</subject><subject language_type_id="slv">avtomatizacija</subject><subject language_type_id="slv">finančna revizija</subject><subject language_type_id="slv">umetna inteligenca</subject><title>a case study on efficiency and risk detection</title><title>Automating financial audits with random forests and real-time stream processing</title></Record>