引用本文: | 李 明,张维明,刘青宝.不确定数据流多维建模方法*.[J].国防科技大学学报,2014,36(5):.[点击复制] |
.Multi-Dimensional modeling method of uncertain data stream[J].Journal of National University of Defense Technology,2014,36(5):[点击复制] |
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不确定数据流多维建模方法* |
李 明1, 张维明1, 刘青宝1 |
(国防科学技术大学 信息系统工程重点实验室)
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摘要: |
由于不确定数据流应用的出现,给传统的精确、静态数据环境下的多维建模带来了巨大挑战。本文则针对不确定数据流动态、无限和不确定等特征,提出了一种不确定数据流多维模型。该模型中引入了不确定对象来描述不确定事实元组,并且通过定义时间维度的层次时间窗口,很好的反映了数据流的动态性和无限性,最后还对此多维不确定数据流模型的基本代数操作和分析代数操作进行了形式化定义,为不确定数据流多维查询与分析提供了理论依据。 |
关键词: 多维模型 不确定数据流 时间维度 连续查询 |
DOI: |
投稿日期:2014-04-08 修订日期:2014-06-05 |
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目) |
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Multi-Dimensional modeling method of uncertain data stream |
Abstract: |
Because of emergence of uncertain data stream applications, the traditional multidimensional model based on precise and static data is in the face of some new challenges. This paper proposes a multidimensional uncertain data stream model based on characters of uncertain data stream, such as dynamic, infinite, uncertain and so on. This model introduce uncertain object to depict uncertain facts, and define the time dimension with multi-level time windows to reflect the dynamic and infinite of data stream. Finally, we give the basic algebraic operations and analytic algebraic operations of multi-dimensional uncertain data stream, which gives theoretical support for multidimensional query and analysis of uncertain data stream. |
Keywords: real-time system energy-efficient scheduling multi-core dynamic slack time |
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