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SYSTEM AND METHOD FOR MINING PATTERNS FROM RELATIONSHIP SEQUENCES EXTRACTED FROM BIG DATA

机译:从大数据提取的关系序列挖掘模式的系统和方法

摘要

The various embodiments herein provide a system and method for mining frequent patterns in relationship space from a plurality of relationship sequences extracted from a big data The system comprises a data repository for collecting and storing the big data. An Entity Store for collecting and storing a plurality of entities from the big data, an Entity Hierarchy for representing a hierarchical structure of entities, a Relationship Store for collecting and storing relationship instances between the pluralities of entities, a Relationship Hierarchy for representing a hierarchical structure of relationship, a language/domain model for organizing entities and relationships in a hierarchical manner, a pattern query Processing Module (PQPM) for processing, a pattern query related to finding patterns in relationships and entities, and a Pattern Generation Module (PGM) to generate frequent patterns and a Frequent Pattern Display Module (FPDM) to provide a visual presentation of the mined patterns.
机译:本文的各个实施例提供了一种用于从从大数据中提取的多个关系序列中挖掘关系空间中的频繁模式的系统和方法。该系统包括用于收集和存储大数据的数据库。用于从大数据中收集和存储多个实体的实体存储,用于表示实体的层次结构的实体层次结构,用于收集和存储多个实体之间的关系实例的关系存储,用于表示层次结构的关系层次结构关系,用于以分层方式组织实体和关系的语言/域模型,用于处理的模式查询处理模块(PQPM),与在关系和实体中查找模式相关的模式查询以及用于生成关系的模式生成模块(PGM)生成频繁模式,并使用频繁模式显示模块(FPDM)来直观显示所开采的模式。

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