A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index [0.03%]
一种基于树结构的深度时空预测模型的COVID-19数据挖掘新方法以交通复兴指数为例
Zhiqiang Lv,Xiaotong Wang,Zesheng Cheng et al.
Zhiqiang Lv et al.
The outbreak of the COVID-19 epidemic has had a huge impact on a global scale and its impact has covered almost all human industries. The Chinese government enacted a series of policies to restrict the transportation industry in order to sl...
An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method [0.03%]
用于预测COVID-19爆发期间传播的误导信息的基于集成方法的自动多网络平台投票框架
Deepika Varshney,Dinesh Kumar Vishwakarma
Deepika Varshney
The spreading of misleading information on social web platforms has fuelled massive panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. Previous studies mainly relied on a sp...
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index [0.03%]
新冠疫情中的深度学习：城市交通振兴指数的深度模型
Zhiqiang Lv,Jianbo Li,Chuanhao Dong et al.
Zhiqiang Lv et al.
The research of traffic revitalization index can provide support for the formulation and adjustment of policies related to urban management, epidemic prevention and resumption of work and production. This paper proposes a deep model for the...
Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings [0.03%]
利用输出术语共现频率和潜在关联进行医学主题词预测
Ramakanth Kavuluru,Yuan Lu
Ramakanth Kavuluru
Trained indexers at the National Library of Medicine (NLM) manually tag each biomedical abstract with the most suitable terms from the Medical Subject Headings (MeSH) terminology to be indexed by their PubMed information system. MeSH has ov...
Interaction mining and skill-dependent recommendations for multi-objective team composition [0.03%]
交互挖掘和技能依赖的多目标团队组合推荐方法
Christoph Dorn,Florian Skopik,Daniel Schall et al.
Christoph Dorn et al.
Web-based collaboration and virtual environments supported by various Web 2.0 concepts enable the application of numerous monitoring, mining and analysis tools to study human interactions and team formation processes. The composition of an ...
Wei Chen,Parvathi Chundi
Wei Chen
Identifying time periods with a burst of activities related to a topic has been an important problem in analyzing time-stamped documents. In this paper, we propose an approach to extract a hot spot of a given topic in a time-stamped documen...