System and method for pattern detection in user accounts through fuzzy pattern matching

Abstract

Various techniques are disclosed for providing dynamic, real-time pattern detection and linking between newly created user accounts and existing user accounts. Certain solutions include assessing matches of a new user account to nodes in a graphical representation of a machine learning algorithm based on predefined patterns in the properties of the new user account. The nodes in the graphical representation may each have different predefined patterns that have been determined based on patterns in previous information for user accounts, which can also be updated in real-time as needed. Accordingly, when a new user account is matched (e.g., assigned) to a node that has accounts with known issues associated with the node, the new user account may be flagged for increased scrutiny or other solutions.