Results

This year, we received 18 very good submissions (6 from North America, 1 from South America, 2 from Asia, 9 from Europe) for the problem from all over the world. After thorough evaluation of the submissions, we ranked the submissions based on the criteria in the problem definition resulting in one first place, one second place, and three third places with submissions of similar performance. From these submissions, we selected the most stable submission for awarding the NVIDIA GPU. We congratulate all succesful teams:

Winning Teams

  • First Place: Gabor Makrai,
    University of York, won a NVIDIA Titan X (Pascal) and $600.
  • Second Place: Salles Viana Gomes de Magalhaes, W. Randolph Franklin, and Wenli Li,
    Rensselaer Polytechnic Institute and Univ. Federal de Viçosa, won a NVIDIA Titan X (Maxwell) and $500.
  • Third Place:
    • Shangfu Peng, Hong Wei, Hao Li, Hanan Samet
      University of Maryland, College Park, won a NVIDIA Quadro K6000 and $300 in cash
    • Panagiotis Nikitopoulos, Aris Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis
      University of Piraeus won $300 in cash,
    • Paras Mehta, Christian Windolf, and Agnès Voisard
      Freie Universität Berlin won $300 in cash.

Paper of the Winning Teams

All winning teams were invited to publish a paper describing their approach in the proceedings of SIGSPATIAL GIS.
  • Efficient Method for Large-scale Spatio-temporal Hotspot Analysis
    Gabor Makrai (University of York, UK)

  • An Efficient Map-Reduce Algorithm for Spatio-temporal Analysis Using Spark
    Salles Viana Gomes Magalhães (Universidade Federal de Viçosa, Brazil), W. Randolph Franklin (Rensselaer Polytechnic Institute), Wenli Li (Rensselaer Polytechnic Institute, USA), and Marcus Vinicius Alvim Andrade ( Universidade Federal de Viçosa, Brazil)

  • Simplification and Refinement for Speedy Spatio-temporal Hot Spot Detection Using Spark
    Shangfu Peng (University of Maryland, College Park, USA), Hong Wei (University of Maryland, College Park, USA), Hao Li (University of Maryland, College Park, USA), and Hanan Samet (University of Maryland, College Park, USA)

  • Spatio-temporal Hotspot Computation on Apache Spark
    Paras Mehta (Freie Universität Berlin, Germany), Christian Windolf (Freie Universität Berlin, Germany), and Agnès Voisard (Freie Universität Berlin, Germany)

  • BigCAB: Distributed Hot Spot Analysis over Big Spatio-temporal Data Using Apache Spark
    Panagiotis Nikitopoulos (University of Piraeus, Greece), Iakovos Paraskevopoulos (University of Piraeus, Greece), Christos Doulkeridis (University of Piraeus, Greece), Nikos Pelekis (University of Piraeus, Greece), and Yannis Theodoridis (University of Piraeus, Greece)