A multidimensional recursive learning process and system used to discover complex dyadic or multiple counterparty relationships

摘要: A multidimensional recursive and self-perfecting process used to discover dyatic or multi-counterparty relationships between parties, the comprising: (a) collecting information from a plurality of data sources; (b) discovering parties collected information; (c) clustering infer multi- counterparty based on common partially intersecting attributes thereby forming clustered parties; (d) evaluating for business linkage potential by integrating contextually assessing indicia sources detect measure consistency inconsistency given party relationship; (e) positing relationship type role said plays in each (f) confidence level regarding likelihood that exists parties.