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 :
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