Titlebook: Big Data – BigData 2018; 7th International Co Francis Y. L. Chin,C. L. Philip Chen,Liang-Jie Zha Conference proceedings 2018 Springer Inter

CANTO

書目名稱Big Data – BigData 2018影響因子(影響力)




書目名稱Big Data – BigData 2018影響因子(影響力)學(xué)科排名




書目名稱Big Data – BigData 2018網(wǎng)絡(luò)公開度




書目名稱Big Data – BigData 2018網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data – BigData 2018被引頻次




書目名稱Big Data – BigData 2018被引頻次學(xué)科排名




書目名稱Big Data – BigData 2018年度引用




書目名稱Big Data – BigData 2018年度引用學(xué)科排名




書目名稱Big Data – BigData 2018讀者反饋




書目名稱Big Data – BigData 2018讀者反饋學(xué)科排名

凈禮

Forecasting Traffic Flow: Short Term, Long Term, and When It Rainsn data into forecasting models to better predict traffic flow in rainy weather is also conducted. Dynamic regression models and neural networks are used in this experiment. In both experiments, neural networks outperformed the others overall.

向外

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COWER

Herd-Immunity

https://doi.org/10.1007/978-3-319-62797-7 nine individual cities in the percentage of positive, negative, and neutral statements, but however, there were significant differences in overall statements, where up 47.88% of all the statements were neutral, positive statements only 14.95%, while 37.16% of the statements were negative.

執(zhí)拗

Real-Time Analysis of Big Network Packet Streams by Learning the Likelihood of Trusted Sequencesthis paper includes (1) real-time packet data analysis, (2) learning the likelihood of trusted and untrusted packet sequences, and (3) improvement of adaptive detection against previous unknown intrusive attacks.

刺穿

PAGE: Answering Graph Pattern Queries via Knowledge Graph Embeddingetric that enables us to compute the plausibility of an answer. In evaluations with two popular knowledge graphs, Freebase and NELL, . demonstrated the performance increase by up?to 28% compared to baseline KGE methods.

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