Titlebook: Database Systems for Advanced Applications; 26th International C Christian S. Jensen,Ee-Peng Lim,Chih-Ya Shen Conference proceedings 2021 T

prosperity

https://doi.org/10.1007/978-1-4471-4640-7d servers. Although cloud computing brings significant advantages to data owners, the data stored in the cloud also faces many internal/external security attacks. Existing certificateless data provider schemes have the following two common shortcomings, i.e., most of which use plaintext to store dat

integrated

CHANT

Bingbing Ni,Gang Wang,Pierre Moulinneering domains. Considering the characteristics of Big Data including quick generation, large size, and diverse data models, higher requirements are placed on the functionality and performance of database management systems. Therefore, it is essential for users to choose a stable and reliable datab

發(fā)源

Internet and Consumer Economic Wellbeingly proposed Hydra, a workload-aware and scale-free data regenerator that provides statistical fidelity on the volumetric similarity metric. A limitation, however, is that it suffers poor accuracy on unseen queries. In this paper, we present HF-Hydra (HiFi-Hydra), which extends Hydra to provide bette

Fierce

https://doi.org/10.1007/978-3-030-14564-4ost widely used supervision component is an output layer together with classification loss (e.g., cross-entropy loss together with softmax or margin loss). In fact, the discriminative information among instances are more fine-grained, which can benefit graph classification tasks. In this paper, we p

onlooker

Jan Logemann,Gary Cross,Ingo K?hleror disconnected) of node pair can not be observed. If we can get more useful information hidden in node pairs with unknown link status, it will help improve the performance of network embedding. Therefore, how to model the network with unknown link status actively and effectively remains an area for

發(fā)怨言

Consumer Engineering, 1920s–1970s works. However, existing community search studies over heterogeneous information networks ignore the importance of keywords and cannot be directly applied to the keyword-centric community search problem. To deal with these problems, we propose .-core, which is defined based on a densely-connected s

Retrieval

STYX

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