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Discussion and analysis of the distributed uncertain database systems ranking

机译:分布式不确定数据库系统排名的探讨与分析

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Large databases with uncertainty became more common in many applications. Ranking queries are essential tools to process these databases and return only the most relevant answers of a query, based on a scoring function. Many approaches were proposed to study and analyze the problem of efficiently answering such ranking queries. Managing distributed uncertain database is also an important issue. In fact ranking queries in such systems are an open challenge. The main objective of this paper is to discuss ranking in distributed uncertain database along with its issued problems. Starting with uncertain data representation, query processing and query types in such systems are discussed along with their challenges and open research area. Top-k query is presented with its properties, as a ranking technique in uncertain data environment, mentioning distributed top-k and distributed ranking problems.
机译:在许多应用程序中,具有不确定性的大型数据库变得更加常见。排名查询是处理这些数据库的重要工具,并根据评分函数返回查询最相关的答案。提出了许多方法来研究和分析有效回答此类排名查询的问题。管理分布式不确定数据库也是一个重要问题。事实上,这种系统中的排名查询是一个开放的挑战。本文的主要目标是讨论分布式不确定数据库中的排名以及其发布的问题。从不确定的数据表示开始,讨论此类系统中的查询处理和查询类型以及其挑战和开放研究区域。 Top-K查询以其属性提供,作为不确定数据环境中的排名技术,提及分布式Top-K和分布式排名问题。

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