2022
DOI: 10.1007/s10586-022-03540-3
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Fraud detection in the distributed graph database

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Cited by 16 publications
(4 citation statements)
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References 24 publications
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“…Privacy concerns, data quality issues, security risks, potential misuse, the digital divide, and resource constraints are among the key disadvantages associated with open data. Recognizing and addressing these drawbacks is essential for the responsible management and use of open data [37], [38].…”
Section: Open Data Disadvantagesmentioning
confidence: 99%
“…Privacy concerns, data quality issues, security risks, potential misuse, the digital divide, and resource constraints are among the key disadvantages associated with open data. Recognizing and addressing these drawbacks is essential for the responsible management and use of open data [37], [38].…”
Section: Open Data Disadvantagesmentioning
confidence: 99%
“…Research conducted across a wide range of fields has shown that graph databases are an effective way to analyse and observe relationships between data (Cetin & Emrah Amrahov, 2022; Srivastava & Singh, 2022). Studies in the literature have also been affected by people's reliance on food as part of their daily lives.…”
Section: Related Workmentioning
confidence: 99%
“…For instance, in social networks, the shortest paths between two users are used to model search ranking functions [4], to analyze the characteristics of the communities [5], to find influential users [6], or to study the behavior of information spreading [7]. In banking and financial services, path querying is used for fraud detection [8], [9]. In bioinformatics, path queries are used for alignment of proteins [10], for analysis of cellular networks [11], and to extract meaningful pathways from protein interaction networks [12].…”
Section: Introductionmentioning
confidence: 99%