Results 61 to 70 of about 327,421 (217)
Query Rewriting and Optimization for Ontological Databases [PDF]
arXiv, 2014 Ontological queries are evaluated against a knowledge base consisting of an extensional database and an ontology (i.e., a set of logical assertions and constraints which derive new intensional knowledge from the extensional database), rather than directly on the extensional database.
arxiv
Join Query Optimization with Deep Reinforcement Learning Algorithms [PDF]
arXiv, 2019 Join query optimization is a complex task and is central to the performance of query processing. In fact it belongs to the class of NP-hard problems. Traditional query optimizers use dynamic programming (DP) methods combined with a set of rules and restrictions to avoid exhaustive enumeration of all possible join orders.
arxiv
Improved SpaceTwist privacy protection method based on anchor optimization algorithm
Tongxin xuebao, 2017 With location-based services worldwide used,private location data appealed easily in query process which caused serious security problems.So the introduction of SpaceTwist incremental nearest neighbor query algorithm,proposes protection of privacy method
Zhen-peng LIU +3 more
doaj +2 more sources
PDMS: AN EFFECTIVE PREFERENCE COUPLED DATA MANAGEMENT AND RETRIEVAL SYSTEM [PDF]
Journal of Engineering Science and Technology, 2017 The exponential growth of the Web has turned it into a huge repository of information. Learning and extracting relevant information satisfying the consumers (User) needs is the ongoing research areas in Information retrieval.
SHAILESH P. KHAPRE +3 more
doaj
Probery: A Probability-based Incomplete Query Optimization for Big Data [PDF]
arXiv, 2019 Nowadays, query optimization has been highly concerned in big data management, especially in NoSQL databases. Approximate queries boost query performance by loss of accuracy, for example, sampling approaches trade off query completeness for efficiency.
arxiv
Optimizing existential datalog queries [PDF]
, 1988 Raghu Ramakrishnan +2 more
openalex +1 more source
Hydro: Adaptive Query Processing of ML Queries [PDF]
arXivQuery optimization in relational database management systems (DBMSs) is critical for fast query processing. The query optimizer relies on precise selectivity and cost estimates to effectively optimize queries prior to execution. While this strategy is effective for relational DBMSs, it is not sufficient for DBMSs tailored for processing machine ...
arxiv
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics [PDF]
PVLDB 2020, 2018 Recent advances in neural networks (NNs) have enabled automatic querying of large volumes of video data with high accuracy. While these deep NNs can produce accurate annotations of an object's position and type in video, they are computationally expensive and require complex, imperative deployment code to answer queries.
arxiv
Assessment of Urban Water Supply System Based on Query Optimization Strategy
Complexity, 2018 As a complicated water treatment system project, an urban water supply plays a significant role in enhancing ecological civilization construction, promoting social-economic sustainable development, and improving the living environment of humans.
Shibao Lu +3 more
doaj +1 more source