Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021

不合

FIP-SHA - Finding Individual Profiles Through SHared Accountsstions of items for the person who is currently logged in. In short, the problem is solved by identifying online sessions on a platform and afterward, clustering these sessions to identify the profiles of the users behind the (potentially) shared account.

抛射物

0302-9743 opics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support..978-3-030-86474-3978-3-030-86475-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

万神殿

https://doi.org/10.1007/978-3-658-35169-4aware and workload-aware (DAWA) algorithm for the encrypted data, thereby minimizing the noise caused by DP and reducing the errors of query responses. An experimental evaluation using torus fully homomorphic encryption (TFHE), a bit-wise fully homomorphic encryption library, confirms the applicabil

Distribution

https://doi.org/10.1007/978-3-322-92159-8 LB-QALSH shows poor query performance under NVM. To fully utilize the advantages of NVM, we propose an NVM-optimized implementation of QALSH, named NV-QALSH, which is the first NVM-optimized LSH. NV-QALSH adopts three optimization designs to achieve a high query performance. Experiments show that N

obsession

Aggressive

Vertriebscontrolling in der Praxisiscriminative capability by feeding the latent low dimensional space from semi-supervised VAE into a further step of the linear encoder-decoder model. The effectiveness of the proposed approach is demonstrated on brain development. The proposed method also is evaluated on imbalanced neural spiking c

BORE

多产鱼

MAOIS

Construction of Differentially Private Summaries Over Fully Homomorphic Encryptionaware and workload-aware (DAWA) algorithm for the encrypted data, thereby minimizing the noise caused by DP and reducing the errors of query responses. An experimental evaluation using torus fully homomorphic encryption (TFHE), a bit-wise fully homomorphic encryption library, confirms the applicabil

Repetitions

NV-QALSH: An NVM-Optimized Implementation of Query-Aware Locality-Sensitive Hashing LB-QALSH shows poor query performance under NVM. To fully utilize the advantages of NVM, we propose an NVM-optimized implementation of QALSH, named NV-QALSH, which is the first NVM-optimized LSH. NV-QALSH adopts three optimization designs to achieve a high query performance. Experiments show that N