An adaptive information-theoretic approach for identifying temporal correlations in big data sets

Nguyen Ho, Huy Vo, Mai Vu. An adaptive information-theoretic approach for identifying temporal correlations in big data sets. In James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura, editors, 2016 IEEE International Conference on Big Data, BigData 2016, Washington DC, USA, December 5-8, 2016. pages 666-675, IEEE, 2016. [doi]

@inproceedings{HoVV16,
  title = {An adaptive information-theoretic approach for identifying temporal correlations in big data sets},
  author = {Nguyen Ho and Huy Vo and Mai Vu},
  year = {2016},
  doi = {10.1109/BigData.2016.7840659},
  url = {http://dx.doi.org/10.1109/BigData.2016.7840659},
  researchr = {https://researchr.org/publication/HoVV16},
  cites = {0},
  citedby = {0},
  pages = {666-675},
  booktitle = {2016 IEEE International Conference on Big Data, BigData 2016, Washington DC, USA, December 5-8, 2016},
  editor = {James Joshi and George Karypis and Ling Liu and Xiaohua Hu and Ronay Ak and Yinglong Xia and Weijia Xu and Aki-Hiro Sato and Sudarsan Rachuri and Lyle H. Ungar and Philip S. Yu and Rama Govindaraju and Toyotaro Suzumura},
  publisher = {IEEE},
  isbn = {978-1-4673-9005-7},
}