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

Topics:

• Follow up:
  • about the themes
  • about the essay topics
  • about the programming project topics
• Presentations by you:
  • Chapter 8 from Castillo book: Marius Falch Lillevik File:slides1.pdf
  • Paper 1: Kari Raudstein File:slides2.pdf
  • Paper 2: Sara Stegane File:slides3.pdf
  • Paper 3: Roar Håkonsen Helland File:slides4.pdf
  • Paper 4: Taume Dery File:slides5.pdf
  • Paper 5: Espen Holst Wiik File:slides6.pdf
• A good tutorial:
  • Big Data Processing with Apache Spark - InfoQ
  • Apache Spark Examples
• 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.

Slides: Session-3: File:S3-EM_datasources.pdf