<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-XWYOZA2Y</identifier><date>2025</date><creator>Alatrista-Salas, Hugo</creator><creator>Arias Hancco, Jeymi Fabiola</creator><creator>Espinoza-Villalobos, Luis</creator><relation>documents/doc/X/URN_NBN_SI_doc-XWYOZA2Y_001.pdf</relation><relation>documents/doc/X/URN_NBN_SI_doc-XWYOZA2Y_001.txt</relation><format format_type="issue">13</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 203-219</format><identifier identifier_type="DOI">10.31449/inf.v49i13.6243</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241357059</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-XWYOZA2Y</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">anomalije</subject><subject language_type_id="slv">bančne transakcije</subject><subject language_type_id="slv">časovne vrste</subject><subject language_type_id="slv">rudarjenje podatkov</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Algorithms for anomaly detection on time series</title><title>a use case on banking data</title></Record>