Results 21 to 30 of about 4,751,671 (372)
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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Learning State Representations for Query Optimization with Deep Reinforcement Learning [PDF]
DEEM@SIGMOD, 2018 We explore the idea of using deep reinforcement learning for query optimization. The approach is to build queries incrementally by encoding properties of subqueries using a learned representation.
Jennifer Ortiz +3 more
semanticscholar +1 more source
Lero: A Learning-to-Rank Query Optimizer [PDF]
Proceedings of the VLDB Endowment, 2023 A recent line of works apply machine learning techniques to assist or rebuild cost-based query optimizers in DBMS. While exhibiting superiority in some benchmarks, their deficiencies, e.g., unstable performance, high training cost, and slow model ...
Rong Zhu +6 more
semanticscholar +1 more source
Optimal Divide and Query [PDF]
, 2011 This work has been partially supported by the Spanish Ministerio de Ciencia e Innovación under grant TIN2008-06622-C03-02 and by the Generalitat Valenciana under grant PROMETEO/2011/052.
Insa Cabrera, David +1 more
openaire +2 more sources
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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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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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
doaj +1 more source
On the Complexity of Query Result Diversification [PDF]
, 2013 Query result diversification is a bi-criteria optimization problem for ranking query results. Given a database D, a query Q and a positive integer k, it is to find a set of k tuples from Q(D) such that the tuples are as relevant as possible to the query,
Abiteboul S. +35 more
core +5 more sources