Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees

Pawel Boinski, Maciej Zakrzewicz. Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees. In Tadeusz Morzy, Theo Härder, Robert Wrembel, editors, Advances in Databases and Information Systems - 16th East European Conference, ADBIS 2012, Poznań, Poland, September 18-21, 2012. Proceedings II. Volume 186 of Advances in Intelligent Systems and Computing, pages 19-30, Springer, 2012. [doi]

@inproceedings{BoinskiZ12-0,
  title = {Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees},
  author = {Pawel Boinski and Maciej Zakrzewicz},
  year = {2012},
  doi = {10.1007/978-3-642-32741-4_3},
  url = {http://dx.doi.org/10.1007/978-3-642-32741-4_3},
  researchr = {https://researchr.org/publication/BoinskiZ12-0},
  cites = {0},
  citedby = {0},
  pages = {19-30},
  booktitle = {Advances in Databases and Information Systems - 16th East European Conference, ADBIS 2012, Poznań, Poland, September 18-21, 2012. Proceedings II},
  editor = {Tadeusz Morzy and Theo Härder and Robert Wrembel},
  volume = {186},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-642-32741-4},
}