Session 3 - Emergency data sources
From info319
Date: Thursday 19th September
Papers:
- 1) Xuan Song, Haoran Zhang, Rajendra Akerkar, Huawei Huang, Song Guo, Lei Zhong, Yusheng Ji, Andreas L. Opdahl, Hemant Purohit, Andr´e Skupin, Akshay Pottathil, Aron Culotta, Big Data and Emergency Management: Concepts, Methodologies, and Applications,File:P1-3.pdf.
- 2) Junaid Qadir, Anwaar AliEmail author, Raihan ur Rasool, Andrej Zwitter, Arjuna Sathiaseelan and Jon Crowcroft, Crisis analytics: big data-driven crisis response, File:Crisis analytics- big data-driven crisis response.pdf
- 3) Silvino Pedro Cumbane and Gy˝oz˝o Gidófalvi. Review of Big Data and Processing Frameworks for Disaster Response Applications. P3-3.pdf
- 4) Adeyinka Akanbi and Muthoni Masinde. A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring. File:P4-3.pdf
- 5) Akerkar, Rajendra (2017). Processing Big Data for Emergency Management. Smart Technologies for Emergency Response and Disaster Management, 144-165, IGI global, File:PBDEM.pdf
- 6) Chih-Chiang Wei and Tzu-Hao Chou. Typhoon Quantitative Rainfall Prediction from Big Data Analytics by Using the Apache Hadoop Spark Parallel Computing Framework. File:P5-3.pdf
- 7) Taiwo Kolajo, Olawande Daramola and Ayodele Adebiyi (2019). Big data stream analysis: a systematic literature review. Journal of Big data, pp==1-30, File:Big data stream analysis a systematic literature review.pdf
Topics:
- Follow up:
- about the themes
- about the essay topics
- about the programming project topics
- Presentations by you:
See mitt.uib.no for paper allocation
- A good tutorials:
- Two seminal technical papers:
Slides: Session-3: See canvas
BDEM Workshop Registration
- Registration link: [[1]]
