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Benchmark Details


Provenance: VAST Challenge 2014
Title: MC2 - Patterns of Life Analysis


Description:

Mini-Challenge 2 asks you to analyze movement and tracking data. GAStech provides many of their employees with company cars for their personal and professional use, but unbeknownst to the employees, the cars are equipped with GPS tracking devices. You are given tracking data for the two weeks leading up to the disappearance, as well as credit card transaction and loyalty card usage data. From this data, can you identify suspicious behaviors? Can you identify people and locations that law enforcement should investigate?

Dataset available at:
Click Here
Solution:
Click Here
Contacts:
Kris Cook, Pacific Northwest National Laboratory
Georges Grinstein, University of Massachusetts-Lowell
Mark Whiting, Pacific Northwest National Laboratory

Total uses: 28
Used by:
ASTRI
CERTH-ITI
Central South University
Award: Outstanding Visualization and Analysis
Eindhoven University of Technology and SynerScope B.V
Fraunhofer IAIS and City University London
Award: Outstanding Scalable Analysis
Georgia Institute of Technology
Award: Honorable Mention: Effective Detailed Analysis
International Institute of Information Technology Hyderabad
KU Leuven
Middlesex University
Award: Honorable Mention: Effective Use of a Custom Tool
Nanyang Technological University Singapore
Peking University
Award: Excellent Comprehensive Visual Analysis System
Purdue University
Award: Sponsor's Award for Novel Visualization
RBEI-Bangalore
Shandong University
Tennessee Tech University
Tianjin University
University of Buenos Aires - Alcoser
University of Buenos Aires - Arcaya
University of Buenos Aires - Cesario
University of Buenos Aires - Croceri
University of Buenos Aires - Tralice
University of Calgary
University of California, Davis
University of Konstanz
Award: Honorable Mention: Effective Data Manipulation
University of Stuttgart
Virginia Tech
Award: Honorable Mention: Effective Presentation
Zhejiang University
giCentre - City University London

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