1) approximate aggregate queries
近似聚集查询
1.
Analysis shows that MBF has great flexibility and supports approximate aggregate queries over historical data within time intervals,where optimal parameters of MBF are provided in term of query accuracy.
理论分析证明,MBF具有较大的灵活性,能有效支持时间范围内历史数据元素的近似聚集查询。
2) approximate query
近似查询
1.
An approximate query algorithm based on eight-neighbor grid clustering for heterogeneous XML documents is proposed.
提出了一种基于八邻域网格聚类的多样性XML近似查询算法。
2.
An approximate query algorithm for heterogeneous-oriented extensible markup language(XML) documents-TPQR was proposed.
提出了一种面向异质可扩展标记语言(XML)文档的近似查询算法(TPQR)。
3.
As data stream is a new data form,which is continuous,fast,transitory,huge size and unpredictable,as compared to traditional static data,approximate query results quickly are generated in a limited storage space far smaller than the size of the whole data set on demand.
数据流作为一种新的数据形态,不同于传统的静态数据,具有连续快速、短暂易逝、规模宏大和不可预测的特点;其研究核心是在一个远小于数据规模的有限存储空间迅速获得近似查询结果。
3) approximate querying
近似查询
1.
An approach to approximate querying of general graph structured semistructured data is proposed based on a relational database system.
提出一种利用关系数据库系统在一般图结构的半结构化数据上进行近似查询的途径。
4) approximate XML query
XML近似查询
5) aggregate query
聚集查询
1.
The key technologies of StarCache about aggregate query processing, cache replacement and consistency maintenance etc.
将目前主要用于小规模数据库查询的语义缓存技术拓展到海量数据库的聚集查询中,以面向聚集查询的语义缓存形式模型为基础,构造了语义缓存StarCache。
2.
However,the existing methods often have the shortcomings of high loss distortion and less aggregate query accuracy on the private or anonymous dataset.
针对已有方法信息损失程度高、聚集查询精度低的不足,在(alpha,k)隐私保护模型基础上,利用关系数据库理论的有损分解思想,提出了一种改进的数据隐私保护方法Alpha+。
6) aggregation query
聚集查询
1.
This paper studies aggregation query whith is an important class of continuous operators,and proposes a kind of novel aggregate query algorithms from sliding window over data streams.
该文研究了基于滑动窗口的数据流聚集查询,提出了一种新的增量聚集查询算法,采用了多种增量计算方法和查询共享技术,实现了多窗口资源共享。
2.
There are many aggregation query on the Massive date-orenited Multi database, and it always be costy.
由于海量数据库应用中存在大量的聚集查询,而且面向海量数据的聚集查询处理又非常耗时,所以如何对海量数据的聚集查询操作进行处理和优化是一项富有挑战的工作。
3.
For its increasing importance in the data warehouse applications, temporal aggregation query have become the focus of the temporal database research.
时态数据库扩展了传统的关系数据库，其中一个重要的扩展就是对于时态聚集查询的支持。
补充资料：近似
相近或相像但不相同：这两个地区的方音有些～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条