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Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance.
Zulfiqar ALI +2 more
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Query Optimization Algorithm Based on Learning to Rank [PDF]
Jisuanji kexueQuery optimization is a key aspect of relational databases.In the traditional query optimization process,cardinality estimation of join and filter operations in a query is usually required in order to obtain a better execution plan.However,due to the ...
YU Yang, PENG Yuwei
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Query Optimization in Teradata Warehouse
Journal of Telecommunications and Information Technology, 2023 The time necessary for data processing is becoming shorter and shorter nowadays. This thesis presents a definition of the active data warehousing (ADW) paradigm.
Agnieszka Gosk
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Constrained Query Answering [PDF]
, 1994 Traditional answering methods evaluate queries only against positive and definite knowledge expressed by means of facts and deduction rules. They do not make use of negative, disjunctive or existential information.
Bry, François, Demolombe, R.
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On the Effectiveness of the Minimization Approach to the Query Optimization
Моделирование и анализ информационных систем, 2016 A standard problem of DBMSs usage is a lack of efficiency and high cost of the access to the stored data. The acceptable level of system performance may be achieved by query optimization technics that determine the most efficient way to execute a given ...
N. Mendkovich
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Machine learning enabled query re-optimization algorithms for cloud database systems [PDF]
, 2021 In cloud database systems, hardware configurations, data usage, and workload allocations are continuously changing. These changes make it difficult for the query optimizer to obtain an optimal query execution plan (QEP) for a query based on the data ...
Wang, Chenxiao
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SPARQL Query Rewriting for Implementing Data Integration over Linked Data [PDF]
, 2010 There has been lately an increased activity of publishing structured data in RDF due to the activity of the Linked Data community. The presence on the Web of such a huge information cloud, ranging from academic to geographic to gene related information ...
Millard, Ian +4 more
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Optimization of Analytical Queries in Heterogeneous Systems
Современные информационные технологии и IT-образование, 2021 According to International Data Corporation (IDC) reports, humankind produced more than 64 zettabytes of data in 2020. Global data creation and replication are expected to grow 23% annually between 2020 and 2025.
Petr Kurapov, Areg Melik-Adamyan
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Parametric query optimization [PDF]
The VLDB Journal The International Journal on Very Large Data Bases, 1997 In most database systems, the values of many important run-time parameters of the system, the data, or the query are unknown at query optimization time. Parametric query optimization attempts to identify at compile time several execution plans, each one of which is optimal for a subset of all possible values of the run-time parameters. The goal is that
Yannis E. Ioannidis +3 more
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Web and Semantic Web Query Languages [PDF]
, 2005 A number of techniques have been developed to facilitate powerful data retrieval on the Web and Semantic Web. Three categories of Web query languages can be distinguished, according to the format of the data they can retrieve: XML, RDF and Topic Maps.
Furche, Tim +7 more
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