Real-time Local Topic Extraction using Density-based Adaptive Spatiotemporal Clustering for Enhancing Local Situation Awareness

Tatsuhiro Sakai, Keiichi Tamura, Shota Kotozaki, Tsubasa Hayashida, Hajime Kitakami. Real-time Local Topic Extraction using Density-based Adaptive Spatiotemporal Clustering for Enhancing Local Situation Awareness. In Ana L. N. Fred, Jan L. G. Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, editors, KDIR 2015 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 1, Lisbon, Portugal, November 12-14, 2015. pages 203-210, SciTePress, 2015. [doi]

@inproceedings{SakaiTKHK15,
  title = {Real-time Local Topic Extraction using Density-based Adaptive Spatiotemporal Clustering for Enhancing Local Situation Awareness},
  author = {Tatsuhiro Sakai and Keiichi Tamura and Shota Kotozaki and Tsubasa Hayashida and Hajime Kitakami},
  year = {2015},
  doi = {10.5220/0005593302030210},
  url = {http://dx.doi.org/10.5220/0005593302030210},
  researchr = {https://researchr.org/publication/SakaiTKHK15},
  cites = {0},
  citedby = {0},
  pages = {203-210},
  booktitle = {KDIR 2015 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 1, Lisbon, Portugal, November 12-14, 2015},
  editor = {Ana L. N. Fred and Jan L. G. Dietz and David Aveiro and Kecheng Liu and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-758-158-8},
}