1. STALITA: innovative platform for bank transactions analysisDavid Jesenko, Štefan Kohek, Borut Žalik, Matej Brumen, Domen Kavran, Niko Lukač, Andrej Živec, Aleksander Pur, 2022, original scientific article Abstract: Acts of fraud have become much more prevalent in the financial industry with the rise
of technology and the continued economic growth in modern society. Fraudsters are evolving
their approaches continuously to exploit the vulnerabilities of the current prevention measures
in place, many of whom are targeting the financial sector. To overcome and investigate financial
frauds, this paper presents STALITA, which is an innovative platform for the analysis of bank
transactions. STALITA enables graph-based data analysis using a powerful Neo4j graph database
and the Cypher query language. Additionally, a diversity of other supporting tools, such as support
for heterogeneous data sources, force-based graph visualisation, pivot tables, and time charts, enable
in-depth investigation of the available data. In the Results section, we present the usability of the
platform through real-world case scenarios.
Keywords: Neo4j, platform, bank transactions, graph analysis, graph visualisation, fraud, investigation
Published in DKUM: 27.03.2025; Views: 0; Downloads: 1
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2. DEP technical architecture reportAleš Zamuda, Lucija Brezočnik, Iztok Fister, Tina Beranič, Grega Žlahtič, Matej Brumen, Gregor Jošt, Viktor Taneski, Muhamed Turkanović, 2018, treatise, preliminary study, study Published in DKUM: 08.03.2019; Views: 1289; Downloads: 54
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4. ALGORITEM PREDVIDEVANJA POPLAVNIH OBMOČIJ Z UPORABO PODATKOV LiDARMatej Brumen, 2013, undergraduate thesis Abstract: Z napredovanjem računalniške tehnologije se zadnje čase pojavlja čim več različnih fizikalnih simulacij, med katere spadajo tudi simulacije dinamike tekočin. Enačbe Navier-Strokes opisujejo takšno gibanje tekočin v 3D prostoru, katerih diskretizacija in reševanje na CPU porabi veliko časa. Zato bi si želeli lažjo in hitrejšo metodo za tovrstne simulacije. V diplomskem delu smo predstavili implementacijo reševalnika enačb plitve vode, ki opisujejo gibanje tekočin v 2D prostoru. Reševalnik smo uporabili za predvidevanje poplavnih območij nad 2.5D mrežo zgrajeno iz 3D oblaka točk. Ta množica točk običajno predstavlja realna površja, ki so bila posneta s tehnologijo LiDAR. Tako je v razvitem orodju mogoče predvidet ogrožene predele, ki bodo poplavljeni v realnem času.
Keywords: algoritmi, računalniška geometrija, enačbe plitvih voda, podatki LiDAR, 2.5D površje, realno-časovna simulacija tekočin, vizualizacija terena, vizualizacija tekočin
Published in DKUM: 12.09.2013; Views: 2542; Downloads: 268
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