APA (7th ed.) Citation

Fan, Q., Li, Y., Zhang, D., & Tan, K. (2017). Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism. IEEE transactions on knowledge and data engineering, 29(7), 1398-1411. https://doi.org/10.1109/TKDE.2017.2685587

Chicago Style (17th ed.) Citation

Fan, Qi, Yuchen Li, Dongxiang Zhang, and Kian-Lee Tan. "Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism." IEEE Transactions on Knowledge and Data Engineering 29, no. 7 (2017): 1398-1411. https://doi.org/10.1109/TKDE.2017.2685587.

MLA (9th ed.) Citation

Fan, Qi, et al. "Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism." IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 7, 2017, pp. 1398-1411, https://doi.org/10.1109/TKDE.2017.2685587.