Session 3 - Emergency data sources

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
• 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
• 4) Knoblock, C. A., & Szekely, P. (2015). Exploiting Semantics for Big Data Integration. AI Magazine, 36(1), 25-38. File:KnoblockSzekely2015-ExploitingSemanticsForBigDataIntegration.pdf

Topics:

• Follow up:
  • about the themes
  • about the essay topics
  • about the programming project topics

• A good tutorial:
  • Big Data Processing with Apache Spark - InfoQ
• Two seminal technical papers:
  • • M. Zaharia et al. (2010). Spark: Cluster computing with working sets. Conf. HotCloud 10.
    • M. Zaharia et al. (2012). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. 9th Conf. Usenix.

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