Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization

Yihuang Kang, Keng-Pei Lin, I-Ling Cheng. Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. In 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018. pages 94-101, IEEE, 2018. [doi]

@inproceedings{KangLC18-2,
  title = {Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization},
  author = {Yihuang Kang and Keng-Pei Lin and I-Ling Cheng},
  year = {2018},
  doi = {10.1109/IRI.2018.00021},
  url = {http://doi.ieeecomputersociety.org/10.1109/IRI.2018.00021},
  researchr = {https://researchr.org/publication/KangLC18-2},
  cites = {0},
  citedby = {0},
  pages = {94-101},
  booktitle = {2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-2659-7},
}