Titlebook: Database Systems for Advanced Applications; 28th International C Xin Wang,Maria Luisa Sapino,Hongzhi Yin Conference proceedings 2023 The Ed

minimal

負(fù)擔(dān)

Methods and Protocols in Food Sciencen, and temporal-aware loss, SRACas learns a better latent representation of cascades at both the node level, sub-cascade level, and cascade level. Moreover, there lacks a platform with standard prepossessing procedures that allow convenient configuration and fair competition between information casc

ethnology

不如樂死去

https://doi.org/10.1007/978-1-0716-3000-6requent patterns that frequently appear in each group. A feature vector is constructed for each subject based on these pairs by drawing on the network motif idea and the classifier is used to detect Alzheimer’s disease (AD). Comprehensive experiments on ADNI public datasets demonstrate the effective

Intellectual

楓樹

植物群

https://doi.org/10.1007/978-981-15-7150-3analyze the effect of the two parameters on the search results of RB-.-core searches. Then, we explore two effective algorithms by refining the initial search parameters . and . of RB-.-core searches. Finally, we conduct comprehensive experimental studies on four real geo-social networks to evaluate

他很靈活

https://doi.org/10.1007/978-3-030-53983-2n nodes. Extensive experiments on multiple benchmark datasets show that, the quality of community detection can be remarkably enhanced under the regime of attribute subspaces, achieving the state-of-the-art performance.

感激小女

Consumer attitudes to food quality productsen as anomalies. To mine abnormal CGPs and their matches automatically and efficiently, we then propose an efficient parallel approach called . . . . .. ACGPMiner follows the generation-and-validation paradigm and does the anomaly detection level by level. At each level ., we generate CGPs with . ed

SMART

Felipe Caro,Victor Martínez-de-Albéenizted memory usage. . maps each subgraph into the corresponding bucket based on hash functions to compute the persistence of each pattern. Then we introduce optimizations to separate persistent and non-persistent patterns, further improving the effectiveness and throughput in space-scarce scenarios. E