STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing

Guizi Chen, Liang Yu, Wee Siong Ng, Huayu Wu, Usha Nanthani Kunasegaran. STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing. In Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun, editors, Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings. Volume 10604 of Lecture Notes in Computer Science, pages 794-807, Springer, 2017. [doi]

@inproceedings{ChenYNWK17,
  title = {STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing},
  author = {Guizi Chen and Liang Yu and Wee Siong Ng and Huayu Wu and Usha Nanthani Kunasegaran},
  year = {2017},
  doi = {10.1007/978-3-319-69179-4_56},
  url = {https://doi.org/10.1007/978-3-319-69179-4_56},
  researchr = {https://researchr.org/publication/ChenYNWK17},
  cites = {0},
  citedby = {0},
  pages = {794-807},
  booktitle = {Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings},
  editor = {Gao Cong and Wen-Chih Peng and Wei Emma Zhang and Chengliang Li and Aixin Sun},
  volume = {10604},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-69179-4},
}