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LocationSpark: In-memory Distributed Spatial Query Processing and Optimization [PDF]
Frontiers in Big Data, 2020 Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing.
Mingjie Tang +5 more
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A PID-Based kNN Query Processing Algorithm for Spatial Data [PDF]
Sensors, 2022 As a popular spatial operation, the k-Nearest Neighbors (kNN) query is widely used in various spatial application systems. How to efficiently process a kNN query on spatial big data has always been an important research topic in the field of spatial data
Baiyou Qiao +3 more
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A Robotic Context Query-Processing Framework Based on Spatio-Temporal Context Ontology [PDF]
Sensors, 2018 Service robots operating in indoor environments should recognize dynamic changes from sensors, such as RGB-depth (RGB-D) cameras, and recall the past context.
Seokjun Lee, Incheol Kim
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Multidimensional query processing algorithm by dimension transformation [PDF]
Scientific Reports, 2023 Multidimensional query processing is an important access pattern for multidimensional scientific data. We propose an in-memory multidimensional query processing algorithm for dense data using a higher-dimensional array.
Rejwana Tasnim Rimi +2 more
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An index-based algorithm for fast on-line query processing of latent semantic analysis. [PDF]
PLoS ONE, 2017 Latent Semantic Analysis (LSA) is widely used for finding the documents whose semantic is similar to the query of keywords. Although LSA yield promising similar results, the existing LSA algorithms involve lots of unnecessary operations in similarity ...
Mingxi Zhang, Pohan Li, Wei Wang
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Improved Centralized XML Query Processing Using Distributed Query Workload
IEEE Access, 2021 eXtensible Markup Language (XML) is used widely to transfer data among a wide variety of systems. Due to an increase in query workloads and management of larger datasets, centralized processing is no longer feasible for XML query processing.
Samini Subramaniam +2 more
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Achieving new SQL query performance levels through parallel execution in SQL Server [PDF]
E3S Web of Conferences, 2023 This article provides an in-depth look at implementing parallel SQL query processing using the Microsoft SQL Server database management system. It examines how parallelism can significantly accelerate query execution by leveraging multi-core processors ...
Nuriev Marat +3 more
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Applied Sciences, 2021 Various distributed processing schemes were studied to efficiently utilize a large scale of RDF graph in semantic web services. This paper proposes a new distributed SPARQL query processing scheme considering communication costs in Spark environments to ...
Jongtae Lim +5 more
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Proceedings of the VLDB Endowment, 2016 Modern Internet applications often produce a large volume of user activity records. Data analysts are interested in cohort analysis, or finding unusual user behavioral trends, in these large tables of activity records. In a traditional database system, cohort analysis queries are both painful to specify and expensive to evaluate.
Beng Chin Ooi +6 more
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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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