KOMENDA, Martin a Matěj KAROLYI. A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern. Online. In Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs). Toulouse, France, 2016, s. 819-826, 489 s. ISBN 978-88-903574-5-9.
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Základní údaje
Originální název A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern
Autoři KOMENDA, Martin a Matěj KAROLYI.
Vydání Toulouse, France, Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), od s. 819-826, 489 s. 2016.
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Francie
Utajení není předmětem státního či obchodního tajemství
Forma vydání elektronická verze "online"
WWW URL
Organizační jednotka Lékařská fakulta
ISBN 978-88-903574-5-9
Klíčová slova anglicky data-driven approach, narrative pattern, martini glass structure, visualization
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: RNDr. Martin Komenda, Ph.D., MBA, učo 98951. Změněno: 25. 7. 2016 09:05.
Anotace
Nowadays information technology assists with decision making in various fields of human activities. This paper focuses on a survey of decision support portals and systems that provide any data visualization form and reporting in the environmental research field. Generally, data outputs in environmental research are too large, and it might be difficult for the general public to be well oriented when exploring shown data sets. Therefore, it would be appropriate to guide readers, or to point out the fundamental features of the presentation. One of the effective techniques to lead the reader is data visualization storytelling. It expands exploratory data analysis by an explanatory part, which provides a space for a really strong impact by the author. We discuss the real benefits of design strategies for narrative visualization in relation to information systems supporting the decision-making process. A deep survey presents here a global summary on particular decision support systems in terms of using data-driven document approach together with various forms of narrative patterns.
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