New algorithms help data scientists connect data points from multiple sources to solve high-risk problems
Fraud and cybercrime are highly complex problems that often require immense amounts of connected and extraordinarily dense data to be organised and interpreted. One of the challenges data scientists face when dealing with connected data is how to understand relationships between entities, as opposed to looking at data in silos, to provide a much deeper understanding of the problem. Open source graph...
