Analyzing Stock Market Fraud Cases Using a Linguistics-Based Text Mining Approach

Mona Mohamed Zaki Ali, Babis Theodoulidis. Analyzing Stock Market Fraud Cases Using a Linguistics-Based Text Mining Approach. In Ángel García-Crespo, Juan Miguel Gómez Berbís, Mateusz Radzimski, José Luis Sánchez-Cervantes, Sam Coppens, Karl Hammar, Magnus Knuth, Marco Neumann, Dominique Ritze, Miel Vander Sande, editors, Joint Proceedings of the Second International Workshop on Semantic Web Enterprise Adoption and Best Practice and Second International Workshop on Finance and Economics on the Semantic Web Co-located with 11th European Semantic Web Conference, WaSABi-FEOSW@ESWC 2014, Anissaras, Greece, May 26, 2014. Volume 1240 of CEUR Workshop Proceedings, CEUR-WS.org, 2014. [doi]

@inproceedings{AliT14,
  title = {Analyzing Stock Market Fraud Cases Using a Linguistics-Based Text Mining Approach},
  author = {Mona Mohamed Zaki Ali and Babis Theodoulidis},
  year = {2014},
  url = {http://ceur-ws.org/Vol-1240/feosw2014-paper2.pdf},
  researchr = {https://researchr.org/publication/AliT14},
  cites = {0},
  citedby = {0},
  booktitle = {Joint Proceedings of the Second International Workshop on Semantic Web Enterprise Adoption and Best Practice and Second International Workshop on Finance and Economics on the Semantic Web Co-located with 11th European Semantic Web Conference, WaSABi-FEOSW@ESWC 2014, Anissaras, Greece, May 26, 2014},
  editor = {Ángel García-Crespo and Juan Miguel Gómez Berbís and Mateusz Radzimski and José Luis Sánchez-Cervantes and Sam Coppens and Karl Hammar and Magnus Knuth and Marco Neumann and Dominique Ritze and Miel Vander Sande},
  volume = {1240},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}