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DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data

Yuyu Luo, Nan Tang, Guoliang Li, Wenbo Li, Tianyu Zhao, Xiang Yu
2020 IEEE Data Engineering Bulletin  
In this paper, we present DEEPEYE, an end-to-end data science system for monitoring and exploring COVID-19 data, which ranges from (task-driven) data preparation, (descriptive, diagnostic, and prescriptive  ...  , where the COVID-19 infodemic refers to all (messy) data relevant to COVID-19.  ...  science systems for monitoring and exploring COVID-19?  ... 
dblp:journals/debu/Luo00LZY20 fatcat:btllrnl46zfq7ngcmtkkuu5qjy

Letter from the Special Issue Editor

Joseph Gonzalez
2020 IEEE Data Engineering Bulletin  
The second paper, "Slowing the Spread of Infectious Diseases Using Crowdsourced Data", describes the Covid-Watch effort that initially explored a dual approach combining Bluetooth and GPS technologies.  ...  What skills and technologies can the computing world offer that could help in the fight against COVID-19?  ...  The paper "DeepEye: A Data Science Ssytem for Monitoring and Exploring COVID-19 Data" describes a widely used system to support data science efforts around COVID-19.  ... 
dblp:journals/debu/000120 fatcat:uchme647ejcaxlb2gmnosteh7a

Composition and Configuration Patterns in Multiple-View Visualizations [article]

Xi Chen, Wei Zeng, Yanna Lin, Hayder Mahdi Al-maneea, Jonathan Roberts, Remco Chang
2020 arXiv   pre-print
We combine the findings into a MV recommendation system, providing interactive tools to explore the design space, and support example-based design.  ...  Multiple-view visualization (MV) is a layout design technique often employed to help users see a large number of data attributes and values in a single cohesive representation.  ...  ACKNOWLEDGMENTS The authors wish to thank all experiment participants for their valuable feedbacks, and the anonymous reviewers for their fruitful suggestions.  ... 
arXiv:2007.15407v2 fatcat:xzc3bvwm6jhrtn6dgbbplenw54

Hybrid techniques for analysis and knowledge discovery out of multi-sourced social networks data

Ηλίας Π. Δημητριάδης
OSN data can be represented in the form of a graph, where users are represented as nodes and the interactions or inter-relationships as edges.  ...  Design and development of multi-context applications built on the knowledge extracted from OSNs and Web data.  ...  Research 11 from the Center for Informed Democracy and Social Cybersecurity at CMU suggests that "bots may account for between 45 and 60% of Twitter accounts discussing Covid-19", while a Brown University  ... 
doi:10.26262/ fatcat:pcpkxjiesvhwrkhveeust76age