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 approximately search aggregate range query …
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Aggregate- Join Query Processing in Parallel Database Systems D. Taniar Department of Computer Science Royal Melbourne Institute of Technology GPO Box 2476V, Melbourne 3001, Australia taniar @ cs.rmit.edu.au Abstract Queries containing aggregate functions ofen combine multiple tables through join operations. We call these
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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 ...
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Figure 4.4: Overflow of leaf node C - "Range aggregate processing in spatial databases" Figure 4.4: Overflow of leaf node C - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume={16}, pages={1555-1570}, url={https ...
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100 NeuroSketch: Fast and Approximate Evaluation of Range Aggregate ueries with Neural Networks SEPANTA ZEIGHAMI,University of Southern California, USA CYRUS SHAHABI,University of Southern California, USA VATSAL SHARAN,University of Southern California, USA Range aggregate queries (RAQs) are an integral part of many real-world …
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Figure 2.4: Example of block overflow and version split - "Range aggregate processing in spatial databases"
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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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This paper proposes novel, efficient techniques to solve the problem of efficiently computing range aggregates in a multidimensional space when the query location is uncertain …
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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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In this paper, we study the problem of processing the uncertain location based range aggregate in a multi-dimensional space. We first formally intro-duce the problem, then propose a general …
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Figure 2.5: Example of weak version underflow - "Range aggregate processing in spatial databases" Figure 2.5: Example of weak version underflow - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume={16}, pages={1555 ...
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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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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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Figure 2.2: Representation of temporal data - "Range aggregate processing in spatial databases"
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Figure 4.5: The aP-tree insertion algorithm - "Range aggregate processing in spatial databases" Figure 4.5: The aP-tree insertion algorithm - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume={16}, pages={1555-1570 ...
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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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Figure 4.6: Bulkloading the aP-tree using pooling pages - "Range aggregate processing in spatial databases" Figure 4.6: Bulkloading the aP-tree using pooling pages - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume ...
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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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Figure 4.2: An aP-tree - "Range aggregate processing in spatial databases" DOI: 10.1109/TKDE.2004.93 Corpus ID: 9767404; Range aggregate processing in spatial databases @article{Tao2004RangeAP, title={Range aggregate processing in spatial databases}, author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and …
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range aggregation query processing relies on the design of the routing protocol, we summarize the state-of-the-art routing pro-tocols in UAV networks. 2.1. Data aggregation processing in static networks Due to the practicability and efficiency of data aggregation processing in energy and bandwidth conservation, it has at-
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Contribute to dihog/sbm development by creating an account on GitHub.
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queries [15], clustering and Mining [10], etc. However, though range aggregate query on uncertain data is very important in practice, this problem remains unexplored. A range aggregate query (RA query) on certain data returns summarized information about objects satisfying a given query range, such as the total num-ber of qualified objects [19].
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Figure 2.1: The aR-tree - "Range aggregate processing in spatial databases"
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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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