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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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

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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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