Titlebook: Database Systems for Advanced Applications. DASFAA 2021 International Workshops; BDQM, GDMA, MLDLDSA, Christian S. Jensen,Ee-Peng Lim,Chih-

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世俗

Contemporary Rhinology: Science and Practicetures of the holes, the methods can also effectively predict the missing part of the holes while keeping the global style consistency. Finally, we extend the spatially discounted weight to the irregular holes and assign higher weights to the spatial points near the effective areas to strengthen the

lavish

ROPW: An Online Trajectory Compression Algorithms significantly improved the trajectory compression rate, and its average time complexity and space complexity is .(.) and .(1) respectively. Finally, we conducted experiments on three real data sets to verify that the ROPW algorithm performed very well in terms of compression rate and time efficien

Enthralling

Repatriate

LAA: Inductive Community Detection Algorithm Based on Label Aggregationte nodes’ final labels by aggregating the labels propagated from local neighbors. The experimental results show that LAA has excellent generalization capabilities to handle overlapping community detection task.

情節(jié)劇

Multi-scale Gated Inpainting Network with Patch-Wise Spacial Attentiontures of the holes, the methods can also effectively predict the missing part of the holes while keeping the global style consistency. Finally, we extend the spatially discounted weight to the irregular holes and assign higher weights to the spatial points near the effective areas to strengthen the

娘娘腔

Iliada Elia,Joanne Mulligan,Christiane Benz that use trajectory data are becoming increasingly popular in many fields. However, the amount of raw trajectory data is usually too large. Such a large amount of data is expensive to store, and the cost of transmitting and processing is quite high. To address these problems, the common method is t

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Resistance

Andrea Maffia,Maria Alessandra Mariotti be solved. Therefore, it is of great significance to study effective methods to recover missing blocks in time series for better analysis and mining. In this paper, we focus on the situation of continuous missing blocks in multivariate time series. Aiming at the blackout missing block pattern, we p

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