Titlebook: Database and Expert Systems Applications; 35th International C Christine Strauss,Toshiyuki Amagasa,Ismail Khalil Conference proceedings 202

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Efficient Algorithms for?Top-k Stabbing Queries on?Weighted Interval Data. time, where . is the number of intervals, so it is not scalable to large .. We solve this inefficiency issue and propose an algorithm that runs in . time. Furthermore, we propose an . algorithm to further accelerate the search efficiency.

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0302-9743 nd image processing; data security and privacy; database indexing and query processing; specialized applications and case studies.?.978-3-031-68308-4978-3-031-68309-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Das Konzept der Finite-Element-Methode,ering and verification method. We compared the performance of . with that of two non-index-based techniques on six benchmark datasets. The results demonstrated that the proposed method was consistently as fast as or faster than the state-of-the-art . method in terms of query processing. This study i

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Das Konzept der Finite-Element-Methode,imental results demonstrate improvements in both the completeness and correctness of query answers, with accuracy levels ranging from . to .. Furthermore, we make SYRUP openly accessible on GitHub (.), enabling researchers to replicate our experiments and integrate SYRUP into workflows for KG enhanc