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
Link To Document