Titlebook: Database Systems for Advanced Applications. DASFAA 2020 International Workshops; BDMS, SeCoP, BDQM, G Yunmook Nah,Chulyun Kim,Steven Euijon

Enrage

Business Ethics: Oxymoron or Good Business?echnologies in chatbots to meet people’s requirements, syntax analysis, text matching and sentiment analysis, and outline the latest progress and main models of three technologies in the field of chatbots in recent years.

antiquated

Mnemonics

https://doi.org/10.1007/978-3-031-47831-4egy combined with the Gaussian embedding method to maintain better local relevance of embedded nodes. Experiments evaluated on benchmark datasets show that GLP2Gauss has competitive performance on node classification and link prediction for networks compared with off-the-shelf network representation models.

Vulvodynia

crucial

Discovery of Chasing Patterns in Trajectory Data,on algorithm is also designed to improve the distance calculation method. The algorithms were evaluated with real and simulation trajectory data and achieved very good results which have higher accuracy and recall rate compared with the existing chasing pattern discovery algorithms.

女上癮

Two-Level Convolutional Neural Network for Aspect Extraction,irst time to couple Char- and Word-level CNN for aspect extraction. We conduct comparison experiments on two product review datasets. Experimental results demonstrate the effectiveness of our proposed model.

INCUR

Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost,the standard Yahoo! dataset containing 25,569 questions with answers, three experiments have been conducted to evaluate the performance of the method. Results show that it achieves a precision of 88.65% and a recall of 71.85% outperforming a list of baseline methods.

痛苦一下

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades,itations, important publication sources, countries/regions, and institutions, as well as important research issues and concerns. The findings of this study provided scholars as well as instructors with a general picture of the personalized feedback research.

譏諷

lymphoma

Threshold Functional Dependencies for Time Series Data,lassify TFDs for convenience of research. We provide an inference system for classified TFDs analogous to Armstrong’s axioms, prove its soundness and completeness and explain their differences and connections. We perform some experiments to show effects of TFDs which make some contributions to data quality for Time Series Database.