Session 3 - Emergency data sources: Difference between revisions

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'''Date:''' Thusday October 4rth
'''Date:''' Thursday 19th September


'''Papers:'''
'''Papers:'''
* 1) Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Abdullah Gani, Salimah Mokhtar, Ejaz Ahmed, Nor Badrul Anuar, Athanasios V.Vasilakos, '''Big data: From beginning to future''',[[:File:Big data From beginning to future.pdf]].
* 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]]
* 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) Emani, C. K., Cullot, N., & Nicolle, C. (2015). Understandable big data: A survey. Computer science review, 17, 70-81. [[:File:EmaniEtAl2015-UnderstandableBigData-ASurvey-ComputerScienceReview.pdf]]
* 3) Silvino Pedro Cumbane and Gy˝oz˝o Gidófalvi. '''Review of Big Data and Processing Frameworks for Disaster Response Applications'''. [[:P3.pdf]]
* 4) Knoblock, C. A., & Szekely, P. (2015). Exploiting Semantics for Big Data Integration. AI Magazine, 36(1), 25-38. [[:File:KnoblockSzekely2015-ExploitingSemanticsForBigDataIntegration.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]]
* 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:'''
'''Topics:'''
Line 13: Line 15:
**        about the essay topics
**        about the essay topics
**        about the programming project topics
**        about the programming project topics
* Presentations by you:
* Presentations by you:
** Chapter 8 from Castillo book: '''Marius Falch Lillevik'''
See mitt.uib.no for paper allocation
** Paper  1: '''Kari Raudstein'''
 
** Paper 2: '''Sara Stegane'''
* A good tutorials:
** Paper 3: '''Roar Håkonsen Helland'''
** Paper 4: '''Taume Dery'''
** Paper 5: '''Espen Holst Wiik'''
* A good tutorial:
**[https://www.google.no/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjS6Y6AjMXWAhVOSZoKHSJsAmMQFggmMAA&url=https%3A%2F%2Fwww.infoq.com%2Farticles%2Fapache-spark-introduction&usg=AFQjCNG9Y6ZKjATXgTm3AQPJl_9q0t8cgw Big Data Processing with Apache Spark - InfoQ]
**[https://www.google.no/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjS6Y6AjMXWAhVOSZoKHSJsAmMQFggmMAA&url=https%3A%2F%2Fwww.infoq.com%2Farticles%2Fapache-spark-introduction&usg=AFQjCNG9Y6ZKjATXgTm3AQPJl_9q0t8cgw Big Data Processing with Apache Spark - InfoQ]
**[http://spark.apache.org/examples.html Apache Spark Examples]
* Two seminal technical papers:
* Two seminal technical papers:
*** [[:File:ZahariaEtAl2010-Spark-ClusterComputingWithWorkingSets-HotCloud.pdf | M. Zaharia et al. (2010). Spark: Cluster computing with working sets. Conf. HotCloud 10.]]
*** [[:File:ZahariaEtAl2010-Spark-ClusterComputingWithWorkingSets-HotCloud.pdf | M. Zaharia et al. (2010). Spark: Cluster computing with working sets. Conf. HotCloud 10.]]
*** [[:File:ZahariaEtAl2012-ResilientDistributedDatasets-AFaultTolerantAbstractionFroInMemoryClusterComputing.pdf | M. Zaharia et al. (2012). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. 9th Conf. Usenix.]]
*** [[:File:ZahariaEtAl2012-ResilientDistributedDatasets-AFaultTolerantAbstractionFroInMemoryClusterComputing.pdf | M. Zaharia et al. (2012). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. 9th Conf. Usenix.]]


'''Slides:'''  
'''Slides:'''  
Session-3: [[:File:S3-EM_datasources.pdf]]
Session-3: [[See canvas]]
 
'''BDEM Workshop Registration'''
***Registration link: [[https://forms.gle/apD3f6yCT7sBb4EX6]]

Latest revision as of 12:53, 24 September 2020

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.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

  • Two seminal technical papers:

Slides: Session-3: See canvas

BDEM Workshop Registration

      • Registration link: [[1]]
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