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A MULTIDIMENSIONAL RECURSIVE LEARNING PROCESS AND SYSTEM USED TO DISCOVER COMPLEX DYADIC OR MULTIPLE COUNTERPARTY RELATIONSHIPS
A MULTIDIMENSIONAL RECURSIVE LEARNING PROCESS AND SYSTEM USED TO DISCOVER COMPLEX DYADIC OR MULTIPLE COUNTERPARTY RELATIONSHIPS
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机译：用于发现复杂动态或多对等关系的多维递归学习过程和系统
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摘要
A multidimensional recursive and self-completion process used to search for a dyatic or multilateral counterpart relationship between entities includes: (a) collecting information from a plurality of data sources; (b) searching for a bilateral or multilateral party relationship between the entities from the collected information; (c) forming a grouped entity by grouping entities to infer bilateral or multilateral counterparts between entities based on common or partially crossed attributes between entities; (d) By collectively aggregating the information gathered and contextually evaluating the labels from the data source to detect and measure the correspondence and inconsistency of a given group or bilateral or multilateral partnership, Evaluating; (e) assuming and evaluating the roles that relationship types and associations play in each relationship; And (f) assessing a degree of confidence in the possibility that a bilateral or multilateral counterpart relationship exists between the entities; .
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