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Titlebook: Database Systems for Advanced Applications; 25th International C Yunmook Nah,Bin Cui,Steven Euijong Whang Conference proceedings 2020 Sprin

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Auction-Based Order-Matching Mechanisms to Maximize Social Welfare in Real-Time Ride-Sharing slight sacrifice of social welfare. We theoretically prove that both mechanisms satisfy the properties such as truthfulness, individual rationality, profitability and so on. We then evaluate the performance of both mechanisms in the real taxi order data in New York city and demonstrate that our mec
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GDS: General Distributed Strategy for Functional Dependency Discovery Algorithmst-FD sets of data blocks satisfy FD-Combine induction condition. With our strategy, each single-node FD discovery algorithm can be directly parallelized without modification in distributed environments. In the evaluation, with . threads, the speedups of FD discovery algorithm FastFDs exceed . in mos
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Low-Latency Hardware Masking of PRINCEion method allows different replicas to be logically identical while having different physical data layouts on the disk. We verified the efficiency of our method in a NoSQL system, Cassandra, with the TPC-H dataset and with a synthetically generated dataset. The results show that our method outperfo
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Estuardo Alpirez Bock,Alexander Treff effective algorithm, Latency-aware and operational Cost minimization Data Placement (LCDP), which partitions the data into multiple data groups according to the data access rates and greedily selects . data centers incurring the minimum cost for each data in each data group. We prove that algorithm
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Estuardo Alpirez Bock,Alexander Treffs primary key, most significant bit (MSB) become a assistant feature for verifying the validity of embedded watermark. Our scheme can be applied on all type of numerical attributes (e.g. Integer, float, double, boolean). In robust experiments, the scheme is proved to be extremely resilient to insert
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Guido Marco Bertoni,Francesco Regazzoni Model, which is a popular model to approximate distributions. To reduce the effect of noise, we formulate the parametric estimation problem with a multi-layer latent variables structure, and utilize Expectation-Maximization algorithm to solve the Gaussian Mixture Model. Experiments in real datasets
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Robert E. Butts,James Robert Browntransaction needs to be deferred to acquire locks. Experimental results demonstrate that LOTAS can significantly reduce the lock waiting time and improves the throughput up to 4.8x than the classic FCFS strategy under highly contended workloads.
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The Philosophy of Science And Its Logicgenerative adversarial network is proposed. We also introduce the concept that the representation of multimedia data can be separated into content and style manner. The modality representation codes are employed to improve the effectiveness of the generative adversarial learning. Extensive experimen
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