Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting

@article{Kim2015ConnectingDT,
  title={Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting},
  author={Michael Sungjun Kim and Jiwei Liu and Xiaozhou Wang and Wei Yang},
  journal={2015 IEEE International Conference on Data Mining Workshop (ICDMW)},
  year={2015},
  pages={1690-1694}
}
We present a supervised machine learning system capable of matching internet devices to web cookies through filtering, feature engineering, binary classification, and post processing. The system builds a reasonably sized training and testing data set through filtering and feature engineering. We build 415 features in total. Some of these features were engineered to be O(n) time, stand alone classifiers for this problem. Other features use various natural language processing (NLP) techniques… CONTINUE READING
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