Results 51 to 60 of about 4,465,122 (351)
Learned Query Optimization by Constraint-Based Query Plan Augmentation
Over the last decades, various cost-based optimizers have been proposed to generate optimal plans for SQL queries. These optimizers are key to achieving good performance in database systems and can speed up query execution.
Chen Ye+4 more
doaj +1 more source
A Cardinality Estimator in Complex Database Systems Based on TreeLSTM
Cardinality estimation is critical for database management systems (DBMSs) to execute query optimization tasks, which can guide the query optimizer in choosing the best execution plan.
Kaiyang Qi, Jiong Yu, Zhenzhen He
doaj +1 more source
AMaχoS—Abstract Machine for Xcerpt [PDF]
Web query languages promise convenient and efficient access to Web data such as XML, RDF, or Topic Maps. Xcerpt is one such Web query language with strong emphasis on novel high-level constructs for effective and convenient query authoring ...
Bry, François+2 more
core +1 more source
Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data.
Hua Jiang+6 more
doaj +1 more source
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization [PDF]
Stochastic convex optimization, by which the objective is the expectation of a random convex function, is an important and widely used method with numerous applications in machine learning, statistics, operations research, and other areas.
V. Feldman+2 more
semanticscholar +1 more source
Toll‐like receptors (TLRs) are important in the innate immune system. This study explores the zinc‐binding ability of the TLR2 TIR domain (TLR2TIR). We found that TLR2TIR binds zinc with nanomolar affinity through its cysteine residues. Two of them, C673 and C713, are vital for receptor activation, indicating that zinc may play a role in initiating ...
Vladislav A. Lushpa+8 more
wiley +1 more source
ReoptSMART: A Learning Query Plan Cache [PDF]
The task of query optimization in modern relational database systems is important but can be computationally expensive. Parametric query optimization(PQO) has as its goal the prediction of optimal query execution plans based on historical results ...
Fan, Wei+5 more
core +2 more sources
Ontological queries: Rewriting and optimization
Ontological queries are evaluated against an enterprise ontology rather than directly on a database. The evaluation and optimization of such queries is an intriguing new problem for database research. In this paper we discuss two important aspects of this problem: query rewriting and query optimization. Query rewriting consists of the compilation of an
Georg Gottlob+2 more
openaire +3 more sources
Autophagy in cancer and protein conformational disorders
Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley +1 more source
Design and analysis of stochastic DSS query optimizers in a distributed database system
Query optimization is a stimulating task of any database system. A number of heuristics have been applied in recent times, which proposed new algorithms for substantially improving the performance of a query.
Manik Sharma+2 more
doaj +1 more source