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Range aggregate processing in spatial databases - IEEE Xplore
2004.11.1 This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality (independently of the query size) for two-dimensional data.
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Range Aggregate Processing in Spatial Databases - HKUST
A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids).
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Range Aggregate Processing in Spatial Databases
2004.12.1 This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data
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[PDF] Range aggregate processing in spatial databases - Semantic
2004.12.1 This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data
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Range aggregate processing in spatial databases - CORE Reader
Range aggregate processing in spatial databases - CORE Reader
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Approximate range query processing in spatial network
2012.7.20 In this paper we propose two novel query-processing techniques for range search in SNDB, approximate range Euclidean restriction (ARER) and
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Range aggregate processing in spatial databases - HKUST SPD
This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set
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[PDF] Efficient Approximate Range Aggregation over Large-scale
In this work, we propose the first-of-its-kind approximate algorithms for efficient range aggregation over spatial data federation. We devise novel single-silo sampling
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A Scalable Algorithm for Maximizing Range Sum in Spatial
In this paper, we solve the maximizing range sum (MaxRS) problem in spatial databases. Given a set O of weighted points (a.k.a. objects) and a rectangle r of a given size, the
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[PDF] Efficient Approximate Range Aggregation Over Large-Scale
2023.1.1 This work proposes the first-of-its-kind approximate algorithms for efficient range aggregation over spatial data federation that devise novel single-silo sampling
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Monitoring best region in spatial data streams in road networks
2019.3.1 [9] Lazaridis I., Mehrotra S., Progressive approximate aggregate queries with a multi-resolution tree structure, in: Proceedings of the 2001 ACM SIGMOD international conference on Management of data, SIGMOD 2001, 2001, pp. 401 – 412. Google Scholar [10] Tao Y., Papadias D., Range aggregate processing in spatial
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Range Aggregate Processing in Spatial Databases
A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and ...
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Spatial Databases - University of Minnesota
Spatial Databases 1.1 Introduction 1.1.1 Spatial Database Spatial database management systems [43, 58, ... spatial query processing including point, regional, range, and nearest neighbor queries; ... set of aggregate shapes. Cardinality is used to quantify multi-shapes.
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Processing Continuous k Nearest Neighbor Queries in
2020.12.8 M. Kolahdouzan and C. Shahabi. 2004. Voronoi-based k nearest neighbor search for spatial network databases. International Conference on Very Large Data Bases (2004), 840--851. Google Scholar; M. R. Kolahdouzan and C. Shahabi. 2005. Alternative solutions for continuous k nearest neighbor queries in spatial network databases.
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Query processing in spatial database systems Guide books
Query processing in spatial database systems: declustering and. The research question in this thesis concerns how to parallelize the spatial range and join query processing in order to support a high performance spatial database application. Data partitioning for the range query operation involves declustering of spatial data, while data ...
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Authenticated Index Structures for Outsourced Databases
In this chapter we present three techniques to authenticate election range queries and we analyze their performance over different cost metrics. In addition, we discuss extensions to other query ... Y., Papadias, D.: Range aggregate processing in spatial databases. IEEE Transactions on Knowledge and Data Engineering (TKDE) 16(12) (2004) 1555 ...
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Approximately processing aggregate range queries on remote spatial
Processing aggregate range queries on remote spatial databases suffers from accessing huge and/or large number of databases that operate autonomously and simple and/or restrictive web API interfaces. To overcome these difficulties, this paper applies a ...
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Efficient Computation of Range Aggregates against Uncertain
2012.7.1 Range aggregate processing in spatial databases. ... This paper provides an approach to answer spatial range queries over imprecise data by associating a probability value with each returned object and presents a novel technique to set the data precision constraints for the data collecting process so that a probabilistic guarantee ...
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On Efficient Aggregate Nearest Neighbor Query Processing in
2015.7.8 Kolahdouzan M R, Shahabi C. Voronoi-based k nearest neighbor search for spatial network databases. In Proc. the 30th VLDB, Aug. 31-Sept. 3, 2004, pp. 840–851. Zhu L, Jing Y, Sun W, Mao D, Liu P. Voronoi-based aggregate nearest neighbor query processing in road networks. In Proc. the 18th ACM SIGSPATIAL GIS, Nov. 2010, pp.
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Publications of Dimitris Papadias - HKUST
Tao, Y., Papadias, D. Range Aggregate Processing in Spatial Databases. IEEE Transactions on Knowledge and Data Engineering (TKDE), 16(12), 1555-1570, 2004.. ... D. Range Queries Involving Spatial Relations: A Performance Analysis. Proceedings of the 2 nd European Conference on Spatial Information Theory (COSIT), Semmering, Austria.
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Aggregate Processing of Planar Points Proceedings of the 8th ...
2002.3.25 Aggregate Processing of Planar Points. Authors: Yufei Tao. View Profile, Dimitris Papadias. View Profile ...
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Euler Histogram Tree: A Spatial Data Structure for Aggregate Range ...
E.1 [Data]: Data structures; H.2.8 [Database applications]: Spa-tial databases and GIS General Terms Algorithms Keywords aggregate query, spatial histogram, hierarchical data structure 1. INTRODUCTION This paper addresses the problem of processing a variant of range queries in spatial databases for vehicle trajectories. More specifi-
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Authenticated Index Structures for Aggregation Queries ACM ...
2010.12.1 Range aggregate processing in spatial databases. IEEE Trans. Knowl. Data Engin. 16, 12, 1555--1570. Google Scholar Digital Library; Theodoridis, Y. and Sellis, T. K. 1996. A model for the prediction of R-tree performance. In Proceedings of the ACM SIGACT-SIDMOD-SIGART Symposium on Principles of Database Systems (PODS).
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Range Aggregate Processing in Spatial Databases - ResearchGate
Range Aggregate Processing in Spatial Databases Yufei Tao Department of Computer Science City University of Hong Kong Tat Chee Avenue, Hong Kong
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Approximately processing aggregate range queries on remote spatial
2014.4.8 Processing aggregate range queries on remote spatial databases suffers from accessing huge and/or large number of databases that operate autonomously and simple and/or restrictive web API interfaces. To overcome these difficulties, this paper applies a revised version of regular polygon-based search algorithm (RPSA) to
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[PDF] Efficient Approximate Range Aggregation Over Large-Scale Spatial
2023.1.1 This work proposes the first-of-its-kind approximate algorithms for efficient range aggregation over spatial data federation that devise novel single-silo sampling algorithms that process queries in parallel and design a level sampling based algorithm which reduces the time complexity ... Range aggregate processing in spatial databases.
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,
Range Aggregate Processing in Spatial Databases Yufei Tao and Dimitris Papadias Abstract—A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and
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Range aggregate processing in spatial databases - Semantic
Figure 2.1: The aR-tree - "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu ... Sign In Create Free Account. DOI: 10.1109/TKDE.2004.93; Corpus ID: 9767404; Range aggregate processing in spatial databases @article{Tao2004RangeAP, title={Range aggregate processing in
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A Scalable Algorithm for Maximizing Range Sum in Spatial Databases
We first review the range aggregate processing methods in spatial databases. The range aggregate (RA) query was proposed for the scenario where users are interested in sum-marized information about objects in a given range rather than individual objects. Thus, a RA query returns an ag-gregation value over objects qualified for a given range. In
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Analyzing the performance of NoSQL vs. SQL databases for Spatial
an existing NoSQL database ’MongoDB’ with its inbuilt spatial functions with that of a SQL database with spatial extension ’PostGIS’ for two problems spatial and aggregate queries, across a range of datasets, with varying features counts. All the data in the analysis was processed In-memory and no secondary memory was used.
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