Kennedy 发表于 2025-3-21 19:18:18
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Multi-way Spatial Joins Using R-Trees: Methodology and Performance Evaluation Additionally, we introduce . in the M-way join and propose a further optimization technique to improve the performance of the M-way R-tree join. Through experiments using real data, we show that our optimization techniques significantly improve the performance of the M-way spatial join.注意力集中 发表于 2025-3-22 10:32:48
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Naveed Akhtar,Faisal Shafait,Ajmal Mianly, thus providing a basis for the development of applications that need to manage the level-of-detail of complex objects. In this paper, we present general query operations on such models, we describe and classify alternative data structures for encoding an SMC, and we discuss the cost and performance of such structures.Obligatory 发表于 2025-3-22 17:41:12
Cheng Zhang,Hedvig Kjellström,Carl Henrik Ekthe join with another indexed relation. A common platform is used on which a set of spatial access methods and join algorithms are available. The QEPs are implemented with a general iterator-based spatial query processor, allowing for pipelined QEP execution, thus minimizing memory space required for intermediate results.围巾 发表于 2025-3-23 01:16:27
Topological Queriesonly the third one is topological. Topological queries form a robust and practically interesting subclass of all possible queries one may want to ask of a spatial database. Furthermore, they give rise to an unexpectedly complex and rich theory.血统 发表于 2025-3-23 02:28:23
Data Structures for Simplicial Multi-complexesly, thus providing a basis for the development of applications that need to manage the level-of-detail of complex objects. In this paper, we present general query operations on such models, we describe and classify alternative data structures for encoding an SMC, and we discuss the cost and performance of such structures.共同生活 发表于 2025-3-23 07:56:18
A Performance Evaluation of Spatial Join Processing Strategiesthe join with another indexed relation. A common platform is used on which a set of spatial access methods and join algorithms are available. The QEPs are implemented with a general iterator-based spatial query processor, allowing for pipelined QEP execution, thus minimizing memory space required for intermediate results.