Difference between revisions of "GAStech Jr. Crimebusters"

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[[IS480 Team wiki: 2016T1 Fixxlar About Us|<font face='Helvetica' color="#F5F5F5" size=2><b>PRESENTATION</b></font>]]
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Revision as of 17:16, 2 October 2016

GAStech-Logo.png


PROPOSAL

 

PRESENTATION

 

POSTER

 

APPLICATION

 

RESEARCH PAPER


GROUP MEMBERS
  • Joanne Ong Shi Ying
  • Rachel Tay


MOTIVATION AND OBJECTIVES

GAStech is a Tethys-based company that operates in the natural gas production site in the island country of Kronos for at least the past 20 years. In light of their success, GAStech held a celebration for their newfound wealth in January 2014. During which, found that several of their employees had just disappeared.

This project ultimately aims to shed some light onto the people and the locations that the law enforcement should investigate by analysing the movement and tracking data provided, thereby contributing to the investigation towards finding the missing staff members.

Through implementation of the appropriate visual analytics systems, GAStech would be empowered with the following competencies:

  1. Visualization of all the recorded movements of GAStech employees across the Kronos Island over the 2 weeks
  2. Identify unusual patterns of behaviors of the GAStech employees. Out of which, prioritize the patterns that might be related to the missing staff members.


DATA SET

Background information and available data provided:
http://vacommunity.org/VAST+Challenge+2014%3A+Mini-Challenge+2http://vacommunity.org/VAST+Challenge+2014%3A+Mini-Challenge+2


MILESTONES
Project Milestones
Week 1-6
  • Project ideas brainstorming
  • Research potential usable datasets
  • Consulting Prof on existing ideas and approaches
Week 7
  • Researching and brainstorming on possible visualization techniques and the respective tools required
  • Finalise and upload initial wiki page contents
Week 8
  • Finalise the tools/techniques required
  • Slides and contents preparation for the initial project presentation
  • Data cleaning and exploration (1)
  • Self-training on tools/techniques used for the application
Week 9
  • Initial project presentation
  • Data cleaning and exploration (2)
  • Visualization application development (1)
Week 10
  • Visualization application development (2)
Week 11
  • Visualization application development (3)
Week 12
  • Visualization application development (4)
  • Start organising contents of project paper
Week 13
  • Visualization application development (5)
  • Brainstorm and starting preparing contents of project poster
Week 14
  • Visualization application development (6)
  • Finalise project poster
Week 15
  • Project poster submission
  • Final project paper and artifacts submission
  • Working on final deliverables
Week 16
  • Visual analytics poster night