Towards Interactive Visualization of Time Series Data to Support Knowledge Discovery

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00083876" target="_blank" >RIV/00216224:14330/15:00083876 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-23485-4_57" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23485-4_57</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-23485-4_57" target="_blank" >10.1007/978-3-319-23485-4_57</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Interactive Visualization of Time Series Data to Support Knowledge Discovery

Popis výsledku v původním jazyce

Higher education institutions have a significant interest in increasing the educational quality and effectiveness. A major challenge in modern education is the large amount of time-dependent data, which requires efficient tools and methods to provide efficient decision making. Methods like motion charts (MC) show changes over time by presenting animations in two-dimensional space and by changing element appearances. In this paper, we present a visual analytics tool which makes use of enhanced animated data visualization methods. The tool is primarily designed for exploratory analysis of academic analytics (AA) and offers several interactive visualization methods that enhance the MC design. AA is the business intelligence term used in academic settingsand particularly facilitates creation of actionable intelligence to enhance learning and improve student retention.

Název v anglickém jazyce

Towards Interactive Visualization of Time Series Data to Support Knowledge Discovery

Popis výsledku anglicky

Higher education institutions have a significant interest in increasing the educational quality and effectiveness. A major challenge in modern education is the large amount of time-dependent data, which requires efficient tools and methods to provide efficient decision making. Methods like motion charts (MC) show changes over time by presenting animations in two-dimensional space and by changing element appearances. In this paper, we present a visual analytics tool which makes use of enhanced animated data visualization methods. The tool is primarily designed for exploratory analysis of academic analytics (AA) and offers several interactive visualization methods that enhance the MC design. AA is the business intelligence term used in academic settingsand particularly facilitates creation of actionable intelligence to enhance learning and improve student retention.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Inteligence - EPIA 2015

ISBN

9783319234847

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

6

Strana od-do

578-583

Název nakladatele

Springer International Publishing

Místo vydání

Portugal

Místo konání akce

Coimbra, Portugal

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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