Data-driven techniques in disaster information management

T Li, N Xie, C Zeng, W Zhou, L Zheng, Y Jiang… - ACM Computing …, 2017 - dl.acm.org
Improving disaster management and recovery techniques is one of national priorities given
the huge toll caused by man-made and nature calamities. Data-driven disaster management …

Digital dashboards visualizing public health data: a systematic review

A Schulze, F Brand, J Geppert, GF Böl - Frontiers in Public Health, 2023 - frontiersin.org
Introduction Public health is not only threatened by diseases, pandemics, or epidemics. It is
also challenged by deficits in the communication of health information. The current COVID …

Multi-pie

R Gross, I Matthews, J Cohn, T Kanade… - Image and vision …, 2010 - Elsevier
A close relationship exists between the advancement of face recognition algorithms and the
availability of face databases varying factors that affect facial appearance in a controlled …

Data mining meets the needs of disaster information management

L Zheng, C Shen, L Tang, C Zeng, T Li… - … on Human-Machine …, 2013 - ieeexplore.ieee.org
Techniques to efficiently discover, collect, organize, search, and disseminate real-time
disaster information have become national priorities for efficient crisis management and …

[PDF][PDF] Real time contextual collective anomaly detection over multiple data streams

Y Jiang, C Zeng, J Xu, T Li - Proceedings of the ODD, 2014 - academia.edu
Anomaly detection has always been a critical and challenging problem in many application
areas such as industry, healthcare, environment and finance. This problem becomes more …

A topic modeling‐based bibliometric exploration of automatic summarization research

X Chen, H Xie, X Tao, L Xu, J Wang… - … : Data Mining and …, 2024 - Wiley Online Library
The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …

An empirical study of ontology-based multi-document summarization in disaster management

L Li, T Li - IEEE transactions on systems, man, and cybernetics …, 2013 - ieeexplore.ieee.org
Domain ontology, as a conceptual model, provides a meaningful framework for semantic
representation of textual information. In this paper, we explore the feasibility of using the …

Applying data mining techniques to address disaster information management challenges on mobile devices

L Zheng, C Shen, L Tang, T Li, S Luis… - Proceedings of the 17th …, 2011 - dl.acm.org
The improvement of Crisis Management and Disaster Recovery techniques are national
priorities in the wake of man-made and nature inflicted calamities of the last decade. Our …

Microblogging during the European floods 2013: What Twitter may contribute in German emergencies

C Reuter, J Schröter - International Journal of Information Systems for …, 2015 - igi-global.com
Social media is becoming more and more important in crisis management. However its
analysis by emergency services still bears unaddressed challenges and the majority of …

[PDF][PDF] AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring.

FEA Horita, MC Fava, EM Mendiondo, J Rotava… - ISCRAM, 2014 - academia.edu
Flood management is an important approach to reduce damage caused by floods. In this
context, technological architectures which work in real-time are needed. However, Brazil has …