GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining

Vania Bogorny, Paulo Martins Engel, Luis Otávio Alvares. GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining. In Kang Zhang, George Spanoudakis, Giuseppe Visaggio, editors, Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE 2006), San Francisco, CA, USA, July 5-7, 2006. pages 79-84, 2006.

@inproceedings{BogornyEA06,
  title = {GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining},
  author = {Vania Bogorny and Paulo Martins Engel and Luis Otávio Alvares},
  year = {2006},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/BogornyEA06},
  cites = {0},
  citedby = {0},
  pages = {79-84},
  booktitle = {Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE 2006), San Francisco, CA, USA, July 5-7, 2006},
  editor = {Kang Zhang and George Spanoudakis and Giuseppe Visaggio},
  isbn = {1-891706-18-7},
}