Importance

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Abstract

Representing a large amount of association patterns in the form of data events in a computer system is accomplished by use of a unified framework based on attributed hypergraph (AHG). Data relationships are stored as attributed hypergraphs in a computer or computer network, ready for querying and further analysis. This invention is simple yet general enough to directly encode association patterns of different orders discovered from large databases or raw data relations with arbitrary properties. Both qualitative relations (if A and B are related) and quantitative relations (A and B are related k % of the time) are represented as attributed hyperedges. Such representation is lucid and transparent for visualization. It supports ad hoc and complex associative queries while requiring no physical pre-design or restructure. Thus, a computer storage and retrieving system (e.g., a database) can be readily implemented to store and manipulate huge amounts of relations in accordance with an AHG representation. This is particularly important and useful for statistical patterns from machine and/or human generated data source, including but not limited to social media, manufacturing, and scientific research.

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First Claim