• DocumentCode
    3739376
  • Title

    Multi-layer Classification: ICDM 2015 Drawbridge Cross-Device Connections Competition

  • Author

    Mark Landry;Sudalai Rajkumar S;Robert Chong

  • Author_Institution
    H2O, Mountain View, CA, USA
  • fYear
    2015
  • Firstpage
    1695
  • Lastpage
    1698
  • Abstract
    This paper outlines a numerical recipe used to solve the ICDM 2015 competition to associate devices and cookies. The presented model utilizes binomial classification at three stages. The first stage imposed a shared IP address constraint to produce an initial set of candidate matches. The second stage utilized gradient boosted machines with 90 calculated features. This stage was the focal point for solving the problem. The final classification reassessed the probabilities of the prior stage and was customized to fit specific competition dynamics. Our team finished in 10th place in the public and private leaderboard with an F0.5 score of 0.855150.
  • Keywords
    "IP networks","Training","Predictive models","History","Performance evaluation","Numerical models","Training data"
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2015 IEEE International Conference on
  • Electronic_ISBN
    2375-9259
  • Type

    conf

  • DOI
    10.1109/ICDMW.2015.247
  • Filename
    7395890