概率数据库研究问题综述

An Overview of Research on Probabilistic Databases

概率数据库的管理,在不确定数据处理需求与日俱增的今天变得极为重要。一个概率数据库管理系统,是一个能够存储大量概率数据并提供复杂查询方法的数据库管理系统,而且要能对概率计算进行处理。在PRM模型的基础上,根据现阶段研究概况,给出由对象属性、静态属性、动态属性、概率属性组合而成的概率数据库模型;针对概率数据处理的应用需求,论述查询计算及查询排序的方法及其特点,以及概率数据库中安全问题的处理方法。

Probabilistic database management is very important while the need for processing over imprecise data is increasing. A probabilistic database management system is a database management system that can store large amount of probabilistic data, provides complex query theory and handles probability calculation. On the basis of PRM model and researches nowadays, probabilistic database model which is composed of object attribute, static attribute, dynamic attribute, proposes probabilistic attribute, for the need of probabilistic data hand- ing, proposes the methods of query computing and query sorting and their features, and mentions the methods security of probabilistic database.