Visual analytics

Keim, Daniel A.; Mansmann, Florian; Thomas, Jim

doi:10.1145/1809400.1809403

Cited by 119 publications

(34 citation statements)

References 5 publications

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“…Las herramientas de analítica visual hacen posible obtener un modelo mental de datos complejos y nuevo conocimiento Las herramientas de VA hacen posible obtener un modelo mental de los datos complejos y nuevo conocimiento (Keim et al, 2008;Thomas;Cook, 2005). El objetivo es ayudar a los usuarios a descubrir las anomalías inesperadas y sorprendentes, cambios de patrones y relaciones que luego son evaluadas para desarrollar nuevas ideas (Cook; Earnshaw; Stasko, 2007).…”

Section: La Analítica En La Educaciónunclassified

Analítica visual en <i>e-learning</i>

Aguilar¹,

Alonso

2014

El Profesional de la Informacion

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Section: La Analítica En La Educaciónunclassified

Analítica visual en <i>e-learning</i>

Aguilar¹,

Alonso

2014

El Profesional de la Informacion

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“…They assume taxonomy of the data, including its characteristics, the number of independent variables, variables and data types, etc. Keim at all, [15,16,17,18] presented taxonomy by the manner of display techniques: pixel-oriented, geometric projections, iconbased, hierarchical and graph-based. Later, this taxonomy was extended with two orthogonal criteria: the distortion technique and the interaction technique.…”

Section: Related Workmentioning

confidence: 99%

Taxonomy of User Intention and Benefits of Visualization for Financial and Accounting Data Analysis

Savoska

Loshkovska

2014

ICT Innovations 2013

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Abstract. We propose а new multidimensional and multivariate taxonomy for information visualization. This taxonomy takes into consideration users' intentions and the benefits of visualization for analysts, businessmen and managers who use financial and accounting data. To explain the proposed taxonomy, a taxonomic framework has been defined. The framework contains three groups of attributes classified according to visual techniques and their capabilities. We have analyzed and coded several multidimensional and multivariate visualization techniques. Creating this kind of a taxonomic model for visualization of multidimensional and multivariate financial or accounting data implies a possibility for introducing an automatic selection of a visualization technique and the best visual representation.

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“…Current tools include data analytics tools such as Stata [13], and interactive visualization tools such as Malaria Atlas Project [14]. While these types of tools are beneficial in addressing certain work activities of PH stakeholders, they fall short in supporting cognitive activities that involve the use and working with large, heterogeneous, and complex bodies of data [15]. …”

Section: Introductionmentioning

confidence: 99%

The Challenge of Big Data in Public Helth: An Opportunity for Visual Analytics

Sedig

Ola

2014

OJPHI

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Public health (PH) data can generally be characterized as big data. The efficient and effective use of this data determines the extent to which PH stakeholders can sufficiently address societal health concerns as they engage in a variety of work activities. As stakeholders interact with data, they engage in various cognitive activities such as analytical reasoning, decision-making, interpreting, and problem solving. Performing these activities with big data is a challenge for the unaided mind as stakeholders encounter obstacles relating to the data’s volume, variety, velocity, and veracity. Such being the case, computer-based information tools are needed to support PH stakeholders. Unfortunately, while existing computational tools are beneficial in addressing certain work activities, they fall short in supporting cognitive activities that involve working with large, heterogeneous, and complex bodies of data. This paper presents visual analytics (VA) tools, a nascent category of computational tools that integrate data analytics with interactive visualizations, to facilitate the performance of cognitive activities involving big data. Historically, PH has lagged behind other sectors in embracing new computational technology. In this paper, we discuss the role that VA tools can play in addressing the challenges presented by big data. In doing so, we demonstrate the potential benefit of incorporating VA tools into PH practice, in addition to highlighting the need for further systematic and focused research.

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Visual analytics

Cited by 119 publications

References 5 publications

Analítica visual en <i>e-learning</i>

Analítica visual en <i>e-learning</i>

Taxonomy of User Intention and Benefits of Visualization for Financial and Accounting Data Analysis

The Challenge of Big Data in Public Helth: An Opportunity for Visual Analytics

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