Titlebook: Database Systems for Advanced Applications; 27th International C Arnab Bhattacharya,Janice Lee Mong Li,Rage Uday Ki Conference proceedings

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書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Database Systems for Advanced Applications被引頻次




書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




書目名稱Database Systems for Advanced Applications年度引用




書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名




書目名稱Database Systems for Advanced Applications讀者反饋




書目名稱Database Systems for Advanced Applications讀者反饋學(xué)科排名

進(jìn)步

Glutinous

0302-9743 dvanced Applications, DASFAA 2022, held online, in April 2021...The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 demo papers and 2 PhD consortium papers are

extrovert

小蟲

https://doi.org/10.1007/978-3-319-50820-7emory and use GPU to accelerate the execution of AQP queries in addition to using GPU to accelerate the bootstrap-based error estimation. Extensive experiments on the SSB benchmark show that our GPU-accelerated method is at most about two orders of magnitude faster than the CPU method.

Arthropathy

Arthropathy

https://doi.org/10.1007/978-981-10-3202-8ry. Furthermore, we restrict the RL action space of supernodes. Also, we use a dynamic reward instead of a binary reward in prior approaches. The experimental results on four benchmark datasets demonstrate that our approach significantly outperforms prior approaches.

十字架

Cross-Model Conjunctive Queries over Relation and Tree-Structured Dataal result of label values and encoded position values. Experimental results demonstrate the efficiency and scalability of the proposed techniques to answer a CMCQ in terms of running time and intermediate result size.

切碎

Revisiting Approximate Query Processing and Bootstrap Error Estimation on GPUemory and use GPU to accelerate the execution of AQP queries in addition to using GPU to accelerate the bootstrap-based error estimation. Extensive experiments on the SSB benchmark show that our GPU-accelerated method is at most about two orders of magnitude faster than the CPU method.

生存環(huán)境