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Range Aggregate Processing In Spatial Databases

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  • Range Aggregate Processing In Spatial Databases

Range Aggregate Processing in Spatial …

Range Aggregate Processing in Spatial... Date post: 08-Jul-2020: Category: Documents: Author: others View: 0 times: Download: 0 times: Download Report ... Range Aggregate Processing in Spatial Databases ...

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Range aggregate processing in spatial databases

Figure 4.4: Overflow of leaf node C - "Range aggregate processing in spatial databases" ... "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 220,857,154 papers from …

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Range aggregate processing in spatial databases

Figure 4.6: Bulkloading the aP-tree using pooling pages - "Range aggregate processing in spatial databases" ... "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 217,476,902 papers from all fields of science.

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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 …

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Efficient Approximate Range Aggregation over Large-scale Spatial …

Yet they also challenge the conventional implementation of range aggregation queries because the raw data cannot be shared within the federation and the data partition at each data silo is fixed during query processing. In this work, we propose the first-of-its-kind approximate algorithms for efficient range aggregation over spatial data ...

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Predicted Range Aggregate Processing in Spatio-temporal Databases

A novel accurate prediction index technique, named PRA-tree, is presented, which takes into account both the velocity and space distribution of moving objects and is supplemented by a hash index on IDs ofMoving objects, thus having a good dynamic performance and concurrency. Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal …

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Range aggregate processing in spatial databases

This paper proposes novel, efficient techniques to solve the problem of efficiently computing range aggregates in a multidimensional space when the query location is …

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Range aggregate processing in spatial databases

Figure 4.7: Reduction of RA queries to VRA in 3D - "Range aggregate processing in spatial databases" ... "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 221,021,104 papers from all fields of science.

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Aggregate Processing of Planar Points | Proceedings of the …

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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Range aggregate processing in spatial databases

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

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 proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality ( independently of the query …

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Range aggregate processing in spatial databases

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...

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A Scalable Algorithm for Maximizing Range Sum in Spatial Databases

A Scalable Algorithm for Maximizing Range Sum in Spatial Databases Dong-Wan Choi1 Chin-Wan Chung1,2 Yufei Tao2,3 1 2 Department of Computer Science, KAIST, Daejeon, Korea Division of Web Science and Technology, KAIST, Daejeon, Korea 3 Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong …

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Efficient Approximate Range Aggregation over Large …

spatial range specified as either a circle or a rectangle [1], which are fundamental queries for various big spatial data applications. There is a growing trend for the service provider of these applications to operate on a data federation [2], ... "Range aggregate processing in …

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Range aggregate processing in spatial databases

Figure 5.3: Node accesses vs. query length qL (non-uniform) - "Range aggregate processing in spatial databases"

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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 proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality (independently of the query …

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Range Range Aggregate Processing Spatial Da Ases

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).

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A Scalable Algorithm for Maximizing Range Sum in …

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 goal of the …

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Range aggregate processing in spatial databases

Figure 5.1: Node accesses vs. query length qL (uniform data) - "Range aggregate processing in spatial databases"

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NDLI: Range aggregate processing in spatial databases

Range aggregate processing in spatial databases; Loading... Please wait, while we are loading the content... Year : 2016 Volume : 28 Year : 2015 Volume : 27 Year : 2014 Volume : 26 Year : 2013 Volume : 25 ... Image database design …

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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 proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality (independently …

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Range aggregate processing in spatial databases

Figure 5.2: Structure size vs. dataset cardinality N (uniform data) - "Range aggregate processing in spatial databases"

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Range aggregate processing in spatial databases

Figure 2.5: Example of weak version underflow - "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu ... {Tao2004RangeAP, title={Range aggregate processing in spatial databases}, author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering ...

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Range aggregate processing in spatial databases

Figure 4.3: Insertions that do not trigger overflows - "Range aggregate processing in spatial databases" ... "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 220,899,193 papers from all fields of science.

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Range aggregate processing in spatial databases

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 spatial …

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A Scalable Algorithm for Maximizing Range Sum in …

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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Probabilistic Threshold Range Aggregate Query Processing …

Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query, with respect to a given probability threshold.

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Range aggregate processing in spatial databases

Figure 5.4: Structure sizes for non-uniform datasets - "Range aggregate processing in spatial databases" ... "Range aggregate processing in spatial databases" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 220,878,520 papers from all fields of science.

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Range Aggregate Processing in Spatial Databases

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 …

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Efficient Approximate Range Aggregation over Large-scale …

In this work, we propose approximate algorithms for efficient range aggregation over spatial data federation. We devise novel single-silo sampling algorithms that process …

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