反向最近邻查询是空间数据库中最重要的算法之一。
One of the most important algorithms in spatial database is reverse nearest neighbor query.
连续近邻查询(CNN)是时空数据库中一种重要的查询类型。
Continuous nearest neighbors (CNN) inquiry is important in spatial-temporal database.
连续近邻查询(CNN)要检索一给定查询线段上每一点的近邻。
Continuous nearest neighbors (CNN) inquiry is to retrieve nearest neighbors of every point on given line segment.
球面上的最近邻查询在空间数据库最近邻查询领域具有重要的意义。
The nearest neighbor query on the spherical surface has great significance in the nearest neighbor query of the spatial database.
空间数据近邻查询作为空间数据库在现实生活中的具体应用，受到人们越来越多的关注。
As a concrete application of spatial database, nearest neighbor query of spatial data has attracted more and more attention in reality.
动态环境中的反最近邻查询已成为空间查询的研究热点，有效的数据空间削减策略是此类查询的瓶颈。
The reverse nearest neighbor search in dynamic environments is becoming a hot topic, and an efficient space trimming method is the bottleneck of such a search.
通过修改经典的最近邻查询中距离度量的定义，将移动对象轨迹上最近邻查询和区域查询结合起来进行研究是查询处理算法上一次有益的尝试。
Modifying the classical distance metrics definition in nearest neighbor search, it's a beneficial attempt in querying process that research in combining nearest neighbor query with range query.
网络环境下的数据集中的近邻对查询在地理信息系统、网络查询和空间数据库等领域有着重要的应用。
The near neighbor pair query of the datasets in the network has important application in geographical information systems, query in the network and spatial database.
为了提高化学主题搜索引擎的查询效果，采用距离加权七一近邻分类算法来进行自动分类。
In order to improve the performance of chemistry-focused search engines, an automatic text categorization algorithm is proposed based on the distance-weighted k-nearest neighbor algorithm.
本文总结出空间索引系统应提供的三类空间查询：空间范围查询、最近邻居查询、空间连接查询。
We summarize that spatial index system should provides three kinds of spatial query, they are, spatial range query, nearest neighbor query, spatial join query.
该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
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