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Poster communications

Haztrailz: Exploratory Analysis of Trajectory and Sensor Data: VAST 2016 Mini Challenge 2 Award: Honorable Mention for Clear Analysis Strategy

Sriram Karthik Badam 1 Christoph Kinkeldey 2 Petra Isenberg 2
2 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : The mini challenge 2 from VAST 2016 dealt with understanding the operations data from GAStech, a fictional company. We analyzed two weeks of this data including, (1) employee locations collected using proximity cards, and (2) sensor data containing temperatures, heating and cooling status, and chemical concentration levels. Our approach involved data cleaning and consolidation using R, the development of a custom trajectory visualization tool for the analysis of location data, as well as the use of existing analysis tools for the combined analysis of sensor and location data. In this paper, we discuss our analysis process, and report patterns and anomalies, as well as suspicious activities identified within the building.
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https://hal.inria.fr/hal-01397007
Contributor : Christoph Kinkeldey <>
Submitted on : Friday, November 18, 2016 - 2:11:37 PM
Last modification on : Wednesday, September 16, 2020 - 5:11:41 PM
Long-term archiving on: : Tuesday, March 21, 2017 - 8:40:45 AM

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Sriram Karthik Badam, Christoph Kinkeldey, Petra Isenberg. Haztrailz: Exploratory Analysis of Trajectory and Sensor Data: VAST 2016 Mini Challenge 2 Award: Honorable Mention for Clear Analysis Strategy. IEEE Visual Analytics Science and Technology, VAST Challenge, Nov 2016, Los Alamitos, CA, United States. ⟨hal-01397007⟩

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