The state of the art of visual analytics

Conference paper

Ham, D. 2010. The state of the art of visual analytics. Lee, J.H., Lee, H. and Kim, J.S. (ed.) 2009 EU-Korea Conference on Science and Technology. Reading, UK 05 - 07 Aug 2009 Springer. pp. 213-222 https://doi.org/10.1007/978-3-642-13624-5_20
TypeConference paper
TitleThe state of the art of visual analytics
AuthorsHam, D.
Abstract

One of the critical issues challenging human decision makers in the information age is how to find out data relevant to their tasks and how to derive meaningful information from these data. As a new discipline for dealing with this issue, visual analytics has recently emerged. Visual analytics is defined as the science of analytical reasoning facilitated by interactive visual interfaces. It is a multidisciplinary subject that is related to data mining, information visualization, knowledge science, human factors, and so on. This paper reviews the state of the art of visual analytics and claims that the problems of visual analytics should be considered in the context of human-computer interaction and joint cognitive systems. Based on the review results, this paper proposes a conceptual framework for organizing research problems studied so far and identifying viable future research directions. The author hopes that this paper will provide well-organized information about visual analytics and be a good source for researchers who are interested in this new discipline.

Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
Conference2009 EU-Korea Conference on Science and Technology
Page range213-222
Proceedings TitleEKC 2009 Proceedings of EU-Korea Conference on Science and Technology
SeriesSpringer Proceedings in Physics
EditorsLee, J.H., Lee, H. and Kim, J.S.
ISSN0930-8989
Electronic1867-4941
ISBN
Hardcover9783642136238
Electronic9783642136245
Paperback9783642422478
PublisherSpringer
Publication dates
Online17 Sep 2010
Print12 Jul 2010
Publication process dates
Accepted2010
Deposited18 Sep 2024
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-13624-5_20
Web of Science identifierWOS:000283764200020
Web address (URL) of conference proceedingshttps://doi.org/10.1007/978-3-642-13624-5
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