D 2016

A Survey on Data-driven Decision Support Systems Using Effective Narrative Pattern

KOMENDA, Martin a Matěj KAROLYI

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

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"

Odkazy

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
Změněno: 25. 7. 2016 09:05, RNDr. Martin Komenda, Ph.D., MBA

Anotace

V originále

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.