The State of the Art in Integrating Machine Learning into Visual Analytics

Autor: Endert, A., Ribarsky, W., Turkay, C., Wong, W, Nabney, I., Blanco, I Díaz, Rossi, Fabrice

Publikováno v: Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486

Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through such techniques that people can make sense of large, complex data. While

Externí odkaz: http://arxiv.org/abs/1802.07954

Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response.

Autor: Sondag, M.^1,2 (AUTHOR), Turkay, C.³ (AUTHOR), Xu, K.⁴ (AUTHOR), Matthews, L.⁵ (AUTHOR), Mohr, S.⁵ (AUTHOR), Archambault, D.¹ (AUTHOR)

Publikováno v: Computer Graphics Forum. Jun2022, Vol. 41 Issue 3, p29-41. 13p. 6 Diagrams.

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations

Autor: Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, EE, Freeman, E, Gönen, T, Harris, C, Jianu, R, John, NW, Khan, S, Lahiff, A, Laramee, RS, Matthews, L, Mohr, S, Nguyen, PH, Rahat, AAM, Reeve, R, Ritsos, PD, Roberts, JC, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, FP, Wang, Q, Wood, J, Xu, K

Publikováno v: Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, E E, Freeman, E, Gonen, T, Harris, C, Jianu, R, John, N W, Khan, S, Lahiff, A, Laramee, R S, Matthews, L, Mohr, S, Nguyen, P H, Rahat, A A M, Reeve, R, Ritsos, P D, Roberts, J C, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, F P, Wang, Q, Wood, J & Xu, K 2022, ' Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210299 . https://doi.org/10.1098/rsta.2021.0299
Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, E, Freeman, E, Gonen, T, Harris, C, Jianu, R, John, N, Khan, S, Lahiff, A, Laramee, R S, Matthews, L, Mohr, S, Nguyen, P, Rahat, A, Reeve, R, Ritsos, P, Roberts, J, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, F, Wang, Q, Wood, J & Xu, K 2022, ' Visualization for epidemiological modelling : challenges, solutions, reflections and recommendations ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210299 . https://doi.org/10.1098/rsta.2021.0299

We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51242583149eeab9bfaa4ce792fc3457
http://arxiv.org/abs/2204.06946

Visual Analytics of Event Data using Multiple Mining Methods

Autor: Adnan, M., Nguyen, H. P., Ruddle, R., Turkay, C.

Most researchers use a single method of mining to analyze event data. This paper uses case studies from two very different domains (electronic health records and cybersecurity) to investigate how researchers can gain breakthrough insights by combinin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7e6c5e61baa6ed8307f72a78d804692

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