Titlebook: Web Information Systems and Applications; 18th International C Chunxiao Xing,Xiaoming Fu,Chaolemen Borjigin Conference proceedings 2021 Spr

arthrodesis

根除

Database Native Approximate Query Processing Based on Machine-Learningto embed one Machine Learning based AQP inside Relational Database Management System (RDBMS) by taking advantage of UDF. Both implementations are able to calculate estimates with acceptable errors, and the implementation with external training and internal query processing has even better performance in term of response times.

弓箭

malign

Decision Behavior Based Private Vehicle Trajectory Generation Towards Smart Citiesoscopic perspectives to verify dataset generation methods proposed in this paper. The results show that the generated data not only has high accuracy and is valuable but can provide strong data support for the Internet of Vehicles and transportation research work.

hypnogram

Distribution

Online Runtime Prediction Method for Distributed Iterative Jobseach iteration. We conducted experiments on typical Flink iterative jobs, and the experimental results show that our method improves the accuracy by 4.79% compared to the state-of-the-art methods, while for the improvement in accuracy for delta iterative jobs is even more than 15%.

Brittle

Online Runtime Prediction Method for Distributed Iterative Jobseach iteration. We conducted experiments on typical Flink iterative jobs, and the experimental results show that our method improves the accuracy by 4.79% compared to the state-of-the-art methods, while for the improvement in accuracy for delta iterative jobs is even more than 15%.

Synapse

An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Usiocument representations are regarded as multi views. We capture data-driven and domain-specific information by resorting to deep learning methods and handcrafted feature engineering, respectively. Experimental results demonstrate the effectiveness of our proposed approach.

SAGE

An Active Learning Approach for Identifying Adverse Drug Reaction-Related Text from Social Media Usiocument representations are regarded as multi views. We capture data-driven and domain-specific information by resorting to deep learning methods and handcrafted feature engineering, respectively. Experimental results demonstrate the effectiveness of our proposed approach.

Substance-Abuse