DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases

Alexandre Termier, Marie-Christine Rousset, Michèle Sebag. DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases. In Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK. pages 543-546, IEEE Computer Society, 2004. [doi]

@inproceedings{TermierRS04,
  title = {DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases},
  author = {Alexandre Termier and Marie-Christine Rousset and Michèle Sebag},
  year = {2004},
  url = {http://csdl.computer.org/comp/proceedings/icdm/2004/2142/00/21420543abs.htm},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/TermierRS04},
  cites = {0},
  citedby = {0},
  pages = {543-546},
  booktitle = {Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-2142-8},
}