Results 1 to 10 of about 4,611,057 (356)
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
doaj +3 more sources
Query Optimization for Distributed Spatio-Temporal Sensing Data Processing [PDF]
Sensors, 2022 The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types.
Xin Li +3 more
doaj +2 more sources
DISTRIBUTED QUERY OPTIMIZATION [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2010 The need for the distributed systems has been determined by the type of business developed by companies with offices geographically distributed where the specific organizational structure promotes a decentralized business model.
Nicoleta IACOB
doaj +1 more source
Query Optimization for Dynamic Imputation [PDF]
Proceedings of the VLDB Endowment, 2017 Missing values are common in data analysis and present a usability challenge. Users are forced to pick between removing tuples with missing values or creating a cleaned version of their data by applying a relatively expensive imputation strategy. Our system, ImputeDB, incorporates imputation into a cost-based query optimizer, performing necessary ...
J. Cambronero +3 more
semanticscholar +3 more sources
Kepler: Robust Learning for Parametric Query Optimization [PDF]
Proc. ACM Manag. Data, 2023 Most existing parametric query optimization (PQO) techniques rely on traditional query optimizer cost models, which are often inaccurate and result in suboptimal query performance.
Lyric Doshi +7 more
semanticscholar +1 more source
Graph Query Processing Technology Based on Data Warehouse [PDF]
Jisuanji gongcheng, 2023 The maturity of technologies such as vectorization provides an opportunity to realize graph queries based on a data warehouse.However, the existing system does not consider the characteristics of columnar storage and queries and fails to efficiently ...
Jiading GUO, Peng WANG
doaj +1 more source
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization [PDF]
International Conference on Machine Learning, 2022 Answering complex logical queries on incomplete knowledge graphs is a challenging task, and has been widely studied. Embedding-based methods require training on complex queries, and cannot generalize well to out-of-distribution query structures.
Yushi Bai, Xin Lv, Juanzi Li, Lei Hou
semanticscholar +1 more source
Bao: Making Learned Query Optimization Practical [PDF]
SIGMOD Conference, 2020 Recent efforts applying machine learning techniques to query optimization have shown few practical gains due to substantive training overhead, inability to adapt to changes, and poor tail performance.
Ryan Marcus +5 more
semanticscholar +1 more source
Data dependencies for query optimization: a survey
The VLDB journal, 2021 Effective query optimization is a core feature of any database management system. While most query optimization techniques make use of simple metadata, such as cardinalities and other basic statistics, other optimization techniques are based on more ...
Jan Kossmann +2 more
semanticscholar +1 more source
Dense Distinct Query for End-to-End Object Detection [PDF]
Computer Vision and Pattern Recognition, 2023 One-to-one label assignment in object detection has successfully obviated the need for non-maximum suppression (NMS) as postprocessing and makes the pipeline end-to-end.
Shilong Zhang +7 more
semanticscholar +1 more source