Session 3 - Emergency data sources: Difference between revisions
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* '''Session on Emergency data sources''' | * '''Session on Emergency data sources''' | ||
*[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] | * 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] | |||
* 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:ZahariaEtAl2012-ResilientDistributedDatasets-AFaultTolerantAbstractionFroInMemoryClusterComputing.pdf | M. Zaharia et al. (2012). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. 9th Conf. Usenix.]] | |||
'''Student presentations:''' | '''Student presentations:''' | ||
Revision as of 18:35, 19 September 2018
Date: Thusday October 4rth
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, https://doi.org/10.1016/j.ijinfomgt.2016.07.009.
- 2) Junaid Qadir, Anwaar AliEmail author, Raihan ur Rasool, Andrej Zwitter, Arjuna Sathiaseelan and Jon Crowcroft, Crisis analytics: big data-driven crisis response, https://doi.org/10.1186/s41018-016-0013-9
Suitable readings:
- 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, https://doi.org/10.1016/j.ijinfomgt.2016.07.009.
- 2) Junaid Qadir, Anwaar AliEmail author, Raihan ur Rasool, Andrej Zwitter, Arjuna Sathiaseelan and Jon Crowcroft, Crisis analytics: big data-driven crisis response, https://doi.org/10.1186/s41018-016-0013-9
Topics:
- Follow up:
- about the themes
- about the essay topics
- about the programming project topics
- Session on Emergency data sources
- A good tutorial:
- Two seminal technical papers:
Student presentations:
- Chapter 8 from Castillo book: Marius Falch Lillevik
- Paper 1: Kari Raudstein and Sara Stegane
- Paper 2:
Slides:
Session-2: File:S3-EM_datasources.pdf
