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SYSTEM AND METHOD FOR DERIVING A HIERARCHICAL EVENT BASED DATABASE OPTIMIZED FOR PRIVACY AND SECURITY FILTERING

机译:推导针对隐私和安全过滤优化的基于分层事件的数据库的系统和方法

摘要

Inferring a probability of a first inference absent from a database. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. Security filtering is performed based on at least one of a significance level of the probability of the first inference, the probability itself exceeding a pre-selected value, and a security level possessed by a user.
机译:推断数据库中缺少第一推断的可能性。数据库的每个数据均符合数据库的尺寸。多个数据的每个数据具有关联的元数据和关联的密钥。关联的元数据包括有关与相应数据相关联的同类群组的数据,有关与相应数据相关联的层次结构的数据,有关数据的相应来源的数据以及与每个关联数据的完整性,可靠性和重要性相关的概率的数据。该查询用作搜索的参考框架。数据库根据查询和数据返回第一次推断正确性的概率。基于第一推论的概率的重要性等级,概率本身超过预选值和用户拥有的安全等级中的至少一个来执行安全过滤。

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