{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T04:11:05Z","timestamp":1742443865732,"version":"3.40.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685724","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T00:00:00Z","timestamp":1742169600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,17]]},"abstract":"<jats:p>We describe a graph-analytical framework for supporting data-driven decisions whether activities in registering companies point towards fraudulent behavior. The decision support is enabled by the design of a property graph model which public government data is transformed and loaded into. Fraud patterns are encoded as Cypher queries which return all instances of the patterns present in the data. All insights report on anonymized, real cases.<\/jats:p>","DOI":"10.3233\/faia241581","type":"book-chapter","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T08:29:06Z","timestamp":1742372946000},"source":"Crossref","is-referenced-by-count":0,"title":["Graph Modeling and Analytics for Fraud Detection in Company Office Data"],"prefix":"10.3233","author":[{"given":"Kelsen","family":"Diogenes","sequence":"first","affiliation":[{"name":"Mercury, Auckland, New Zealand, Kelsen.Diogenes@mercury.co.nz"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1816-2863","authenticated-orcid":false,"given":"Sebastian","family":"Link","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Auckland, New Zealand, s.link@auckland.ac.nz"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXVI"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T08:29:07Z","timestamp":1742372947000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241581"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,17]]},"ISBN":["9781643685724"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241581","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,17]]}}}