Data structured as a network of relationships can be modeled as a graph, which can then help extract insights into the data through machine learning and rule-based approaches. While these graph representations provide a natural interface to transactional data for humans to appreciate, caution and context must be applied when leveraging machine-based interpretations of these connections.
Originally from KDnuggets https://ift.tt/2UWz0V5
source https://365datascience.weebly.com/the-best-data-science-blog-2020/fraud-through-the-eyes-of-a-machine
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