Results 31 to 40 of about 102,368 (260)
Geo-Socially Tenuous Group Query
Jisuanji kexue yu tansuo, 2021 In location-based social networks, it is important to find a specific group/community. Current research has focused on finding dense subgraphs of close relationships between groups. Compared with the dense group/subgraph, there are few studies on tenuous
LI Na, ZHU Huaijie, LIU Wei, YIN Jian
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Adaptive Query Processing [PDF]
Foundations and Trends in Databases, 2007 As the data management field has diversified to consider settings in which queries are increasingly complex, statistics are less available, or data is stored remotely, there has been an acknowledgment that the traditional optimize-then-execute paradigm is insufficient.
Amol Deshpande +2 more
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A SPATIOTEMPORAL AGGREGATION QUERY METHOD USING MULTI-THREAD PARALLEL TECHNIQUE BASED ON REGIONAL DIVISION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Existing spatiotemporal database supports spatiotemporal aggregation query over massive moving objects datasets. Due to the large amounts of data and single-thread processing method, the query speed cannot meet the application requirements.
S. Liao, L. Chen, J. Li, W. Xiong, Q. Wu
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RODA: A Fast Outlier Detection Algorithm Supporting Multi-Queries
IEEE Access, 2021 Outlier detection is an important task in the field of big data analysis. The technology has been extensively used in network security, sensor data analysis, public health and so on.
Xite Wang, Jiafan Li, Mei Bai, Qian Ma
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Distributed Query Plan Generation Using Multiobjective Genetic Algorithm
The Scientific World Journal, 2014 A distributed query processing strategy, which is a key performance determinant in accessing distributed databases, aims to minimize the total query processing cost.
Shina Panicker, T. V. Vijay Kumar
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Parallel query processing in a polystore [PDF]
Distributed and Parallel Databases, 2021 The blooming of different data stores has made polystores a major topic in the cloud and big data landscape. As the amount of data grows rapidly, it becomes critical to exploit the inherent parallel processing capabilities of underlying data stores and data processing platforms.
Kranas, Pavlos +6 more
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International Journal of Distributed Sensor Networks, 2015 Database applications in wireless sensor networks very often demand data collection from sensor nodes of specific target regions. Design and development of spatial query expressions and energy-efficient query processing strategy are important issues for ...
Chong sok Lim +3 more
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Efficient Continuous Subgraph Matching Scheme Based on Trie Indexing for Graph Stream Processing
Applied Sciences, 2023 With the expansion of the application range of big data and artificial intelligence technologies, graph data have been increasingly used to analyze the relationships among objects.
Dojin Choi +6 more
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Interactive Multiple-User Location-Based Keyword Queries on Road Networks
IEEE Access, 2018 As the use of smart mobile devices increases, users can connect and coordinate with local people or events that match their interests through geosocial networking applications.
Yong Wang +4 more
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Flexible query processing of SPARQL queries [PDF]
, 2018 SPARQL is the predominant language for querying RDF data, which is the standard model for representing web data and more specifically Linked Open Data (a collection of heterogeneous connected data). Datasets in RDF form can be hard to query by a user if she does not have a full knowledge of the structure of the dataset.
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