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Extracting Value from NATO Data Sets through Machine Learning and Advanced Data Analytics

Publication Type:

Conference Paper

Authors:

Ivana Ilic Mestric; Arvid Kok; Giavid Valiyev; Michael Street; Peter Lenk; Mihaela Racovita; Filipe Vieira

Source:

IST-178 specialists meeting on Big data challenges: situational awareness and decision support, Budapest (2019)
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Lenk, Peter, Michael Street, Ivana Ilic Mestric, Arvid Kok, Giavid Valiyev, Philippe Le Cerf, and Barbara Lorincz. "Data Science as a Service: The Data Range." Information & Security: An International Journal 47, no. 2 (2020): 157-171.
Mestric, Ivana Ilic, Arvid Kok, Giavid Valiyev, Michael Street, and Peter Lenk. "Aspect Level Sentiment Analysis Methods Applied to Text in Formal Military Reports." Information & Security: An International Journal 46, no. 3 (2020): 227-238.
APA style: Mestric, I. Ilic, Kok A., Valiyev G., Street M., Lenk P., Racovita M., et al. (2019).  Extracting Value from NATO Data Sets through Machine Learning and Advanced Data Analytics. IST-178 specialists meeting on Big data challenges: situational awareness and decision support.
Chicago style: Mestric, Ivana Ilic, Arvid Kok, Giavid Valiyev, Michael Street, Peter Lenk, Mihaela Racovita, and Filipe Vieira. "Extracting Value from NATO Data Sets through Machine Learning and Advanced Data Analytics." In IST-178 specialists meeting on Big data challenges: situational awareness and decision support. Budapest, 2019.
IEEE style: Mestric, I. Ilic, A. Kok, G. Valiyev, M. Street, P. Lenk, M. Racovita, and F. Vieira, "Extracting Value from NATO Data Sets through Machine Learning and Advanced Data Analytics", IST-178 specialists meeting on Big data challenges: situational awareness and decision support, Budapest, October 2019.
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