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Titlebook: Database Systems for Advanced Applications. DASFAA 2023 International Workshops; BDMS 2023, BDQM 2023 Amr El Abbadi,Gillian Dobbie,Hongzhi

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Spatio-Textual Group Skyline Queryf the basic method, we further propose an index-based method adapting the query processing in an IR-Tree index, and present a pruning algorithm based on the spatio-textual similarities over index nodes, which results in an efficient query processing without generating candidates by scanning the whol
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Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommende deviation with respect to the training difficulty, which correspond with the estimated first-order and second-order moments, in which way the items with high averages and high uncertainties have a higher probability of being restored. Thus, the historical informative items in training are more effe
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Fault Prediction Based on Traffic Light Data Cleaningmodel parameters. The proposed model is validated based on real data, and the results show that the accuracy of traffic light mode recognition is 99.18% and the deviation of traffic light failure prediction is 1.73% with an accuracy of 96.55%.
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Database Systems for Advanced Applications. DASFAA 2023 International WorkshopsBDMS 2023, BDQM 2023
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