Range aggregate processing in spatial databases
Figure 4.1: Reduction of range aggregate to vertical range aggregate - "Range aggregate processing in spatial databases"
Figure 4.1: Reduction of range aggregate to vertical range aggregate - "Range aggregate processing in spatial databases"
KEY WORDS: ClickHouse, vector spatial data, query processing, HBase, remote sensing. ... When querying a spatial range using the georadius method, it transforms the query of two-dimensional space into the comparison of strings of one-dimensional space, which makes it highly efficient for spatial range queries (Liu et al., 2014). (Hao Yu et al ...
Figure 5.4: Structure sizes for non-uniform datasets - "Range aggregate processing in spatial databases" Figure 5.4: Structure sizes for non-uniform datasets - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume={16 ...
Figure 4.7: Reduction of RA queries to VRA in 3D - "Range aggregate processing in spatial databases" Figure 4.7: Reduction of RA queries to VRA in 3D - "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 ...
Range aggregate queries (RAQs) are an integral part of many real-world applications, where, often, fast and approximate answers for the queries are desired. ... Nick Koudas, and Gautam Das. 2020. Approximate query processing for data exploration using deep generative models. In 2020 IEEE 36th international conference on data engineering (ICDE ...
Table 4.1: Frequently used symbols - "Range aggregate processing in spatial databases"
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
Recently, Yang et al [29] investigate the problem of range aggregate query processing over uncertain data in which two sampling approaches are proposed to estimate the aggregate values for the ...
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 ...
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.
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 …
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 ...
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 …
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 ...
Processing aggregate range queries on remote spatial databases suffers from accessing huge and/or large number of databases that operate autonomously ... Kim, S.H., Narayanappa, S. and Shahabi, C. (2007) 'Supporting range queries on web data using k-nearest neighbor search', Proc. W2GIS, pp.61-75. Google Scholar Cross Ref; Berg, M.D., Kreveld ...
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 …
Contribute to dihog/sbm development by creating an account on GitHub.
Figure 4.3: Insertions that do not trigger overflows - "Range aggregate processing in spatial databases" Figure 4.3: Insertions that do not trigger overflows - "Range aggregate processing in spatial databases" ..., author={Yufei Tao and Dimitris Papadias}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2004}, volume={16 ...
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 …
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 …
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.
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 ...
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 …
Figure 5.3: Node accesses vs. query length qL (non-uniform) - "Range aggregate processing in spatial databases"
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 …
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 ...
Answering range-aggregate queries over objects generating data streams. Authors: Marcin Gorawski, Rafal Malczok Authors Info & Claims. DASFAA'10: Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume …
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-
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). ... which achieves logarithmic cost to the data set cardinality (independently of the query size) for two-dimensional data. ... D. Papadias. "Range aggregate processing in ...
Figure 2.1: The aR-tree - "Range aggregate processing in spatial databases"