An Extended Continuous Uncertain XML Data Model Research

Xiaolin Zhang, Guang-Yue Cui, Li-Xin Liu, Weiliang Huo
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Abstract

The data model is one of the core problems in the field of XML data management, but at present the research on management of uncertain data supporting multi-dimensional continuous random variables has been limited. An extended data model supporting multi-dimensional continuous random variables was proposed based on the existing model. The new model made the continuous uncertain XML no longer confined to express one dimension. In addition, queries about joint probability and conditional probability on the model were defined, The query strategy also can choose appropriate characteristic value calculation method according to different continuous distribution types, thus improve the query processing efficiency largely.
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一种扩展的连续不确定XML数据模型研究
数据模型是XML数据管理领域的核心问题之一,但目前对支持多维连续随机变量的不确定数据管理的研究还比较有限。在现有模型的基础上,提出了一种支持多维连续随机变量的扩展数据模型。新的模型使连续的不确定XML不再局限于表示一维。此外,定义了对模型的联合概率和条件概率的查询,该查询策略还可以根据不同的连续分布类型选择合适的特征值计算方法,从而大大提高了查询处理效率。
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