Predicting the Listing Status of Chinese Listed Companies Using Twin Multi-class Classification Support Vector Machine

Sining Zhao, Hamido Fujita. Predicting the Listing Status of Chinese Listed Companies Using Twin Multi-class Classification Support Vector Machine. In Franz Wotawa, Gerhard Friedrich, Ingo Pill, Roxane Koitz-Hristov, Moonis Ali, editors, Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9-11, 2019, Proceedings. Volume 11606 of Lecture Notes in Computer Science, pages 50-62, Springer, 2019. [doi]

@inproceedings{ZhaoF19-0,
  title = {Predicting the Listing Status of Chinese Listed Companies Using Twin Multi-class Classification Support Vector Machine},
  author = {Sining Zhao and Hamido Fujita},
  year = {2019},
  doi = {10.1007/978-3-030-22999-3_5},
  url = {https://doi.org/10.1007/978-3-030-22999-3_5},
  researchr = {https://researchr.org/publication/ZhaoF19-0},
  cites = {0},
  citedby = {0},
  pages = {50-62},
  booktitle = {Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9-11, 2019, Proceedings},
  editor = {Franz Wotawa and Gerhard Friedrich and Ingo Pill and Roxane Koitz-Hristov and Moonis Ali},
  volume = {11606},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-22999-3},
}