Results 1 to 10 of about 470,015 (281)
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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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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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.
Jiang, Dawei +6 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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Process querying: Enabling business intelligence through query-based process analytics [PDF]
Decision Support Systems, 2017 The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems.
Artem Polyvyanyy +3 more
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HI-Sky: Hash Index-Based Skyline Query Processing
Applied Sciences, 2020 The skyline query has recently attracted a considerable amount of research interest in several fields. The query conducts computations using the domination test, where “domination” means that a data point does not have a worse value than ...
Jong-Hyeok Choi +2 more
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A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method [PDF]
PeerJ Computer Science, 2021 Query optimization is the process of identifying the best Query Execution Plan (QEP). The query optimizer produces a close to optimal QEP for the given queries based on the minimum resource usage.
Elham Azhir +4 more
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Query Refinement into Information Retrieval Systems: An Overview
Journal of Information and Organizational Sciences, 2023 Query, expressing the user need and requirement, has an important role, in an information retrieval system, for reaching a high accuracy search. In this paper, we present an overview of the different refinement operations that the query may undergo, in ...
Mawloud Mosbah
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