Titlebook: Database and Expert Systems Applications; 34th International C Christine Strauss,Toshiyuki Amagasa,Ismail Khalil Conference proceedings 202

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Timothy Kaufmann,Karsten Oehlernstance, we propose a transferable representation of queries and indexes that allows for cross-database learning. Our comprehensive empirical results on the TPC-H and TPC-DS benchmarks demonstrate that our approach can reduce the total time by up to 13.3% and the number of optimizer what-if calls by

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Omnipotent

Commonsense-Aware Attentive Modeling for Humor Recognitionur best model significantly improves recall by 4.4% for a 0.4% reduction in precision in the HaHackathon dataset and by 20.3% for an 8.4% reduction in precision in the Humicroedit dataset compared to the baseline. We also observe the changes in prediction and processing speed so as to analyze the ch

fidelity

Adding Result Diversification to ,NN-Based Joins in a Map-Reduce Frameworkalgorithms: the P-BRID. and the SP-BRID.. The P-BRID. method relies on partitioning the objects by their proximity to a set of . so that the search space locality is preserved throughout the mapped distance-based comparisons. The SP-BRID. method expands the P-BRID. by using a data replication strate

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不断的变动

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