A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis

Yixuan Qiu, Wutao Wei. A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 3946-3754, IEEE, 2017. [doi]

@inproceedings{QiuW17,
  title = {A scalable sequential principal component analysis algorithm (SeqPCA) with application to user access control analysis},
  author = {Yixuan Qiu and Wutao Wei},
  year = {2017},
  doi = {10.1109/BigData.2017.8258403},
  url = {https://doi.org/10.1109/BigData.2017.8258403},
  researchr = {https://researchr.org/publication/QiuW17},
  cites = {0},
  citedby = {0},
  pages = {3946},
  booktitle = {2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017},
  editor = {Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo A. Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda},
  publisher = {IEEE},
  isbn = {978-1-5386-2715-0},
}