PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York. PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. In Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu Aggarwal, Nick Cercone, Vasant Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne, editors, 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014. pages 55-60, IEEE, 2014. [doi]

@inproceedings{AlJaddaKOGMY14,
  title = {PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems},
  author = {Khalifeh AlJadda and Mohammed Korayem and Camilo Ortiz and Trey Grainger and John A. Miller and William S. York},
  year = {2014},
  doi = {10.1109/BigData.2014.7004213},
  url = {http://dx.doi.org/10.1109/BigData.2014.7004213},
  researchr = {https://researchr.org/publication/AlJaddaKOGMY14},
  cites = {0},
  citedby = {0},
  pages = {55-60},
  booktitle = {2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014},
  editor = {Jimmy Lin and Jian Pei and Xiaohua Hu and Wo Chang and Raghunath Nambiar and Charu Aggarwal and Nick Cercone and Vasant Honavar and Jun Huan and Bamshad Mobasher and Saumyadipta Pyne},
  publisher = {IEEE},
  isbn = {978-1-4799-5665-4},
}