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Benchmark Details


Provenance: VAST_Challenge_2016
Title: Mini-Challenge_2


Description:

As an expert in visual analytics, you have been hired to help GAStech understand its operations data. In this challenge, you are given two weeks of building and prox sensor data. Can you use visual analytics to identify typical patterns of and issues of concern?

Mini-Challenge 2 provides a two-week set of static data for you to analyze, covering May 31 to June 13, 2016.

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Dataset available at:
Click Here
Solution:
Click Here
Contacts:
Kris Cook, Pacific Northwest National Laboratory
Georges Grinstein, University of Massachusetts Amherst
Mark Whiting, Pacific Northwest National Laboratory
Kristen Liggett, Air Force Research Laboratory
Diane Staheli, MIT Lincoln Laboratory
Jordan Crouser, Smith College
John Fallon, University of Massachusetts Amherst

Total uses: 21
Used by:
Central_Michigan_University
Central_South_University
Chongqing_University_of_Posts_and_Telecommunications
City_University_London
Award: Outstanding Presentation of Patterns in Context
Hong_Kong_University_of_Science_and_Technology
Instituto_Tecnológico_Buenos_Aires
KU_Leuven
Award: Strong Support for Visual Anomaly Detection
Knowledge_Based_Systems_Inc
Middlebury_College
Peking_University
Award: Outstanding Comprehensive Solution
Purdue_University
Award: Honorable Mention - Good Aesthetics
Tata_Consultancy_Services
Award: Honorable Mention - User-Friendly Anomaly Detection
University_of_Amsterdam
University_of_Buenos_Aires
University_of_Buenos_Aires_-_Andreoni
University_of_Konstanz
University_of_Maryland_College_Park
Award: Honorable Mention - Clear Analysis Strategy
University_of_Middlesex
University_of_St_Andrews
VRVis_Research_Center
Award: Honorable Mention - Effective Support for Building Management
Zhejiang_University

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