Using Association Rule Mining to Discover Temporal Relations of Daily Activities

Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook. Using Association Rule Mining to Discover Temporal Relations of Daily Activities. In Bessam Abdulrazak, Sylvain Giroux, Bruno Bouchard, Hélène Pigot, Mounir Mokhtari, editors, Toward Useful Services for Elderly and People with Disabilities - 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, Montreal, Canada, June 20-22, 2011. Proceedings. Volume 6719 of Lecture Notes in Computer Science, pages 49-56, Springer, 2011. [doi]

@inproceedings{NazerfardRC11,
  title = {Using Association Rule Mining to Discover Temporal Relations of Daily Activities},
  author = {Ehsan Nazerfard and Parisa Rashidi and Diane J. Cook},
  year = {2011},
  doi = {10.1007/978-3-642-21535-3_7},
  url = {http://dx.doi.org/10.1007/978-3-642-21535-3_7},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/NazerfardRC11},
  cites = {0},
  citedby = {0},
  pages = {49-56},
  booktitle = {Toward Useful Services for Elderly and People with Disabilities - 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, Montreal, Canada, June 20-22, 2011. Proceedings},
  editor = {Bessam Abdulrazak and Sylvain Giroux and Bruno Bouchard and Hélène Pigot and Mounir Mokhtari},
  volume = {6719},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-21534-6},
}