Article
Agile Visual Analytics for Banking Cyber "Big Data"
Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (2012, Seattle, WA)
Abstract
This paper describes the rapid development of a tailored cyber situational awareness and analysis application for the 2012 IEEE VAST Mini-Challenge 1 (MC1) - Cyber Situation Awareness. The novel aspect of this project was in the process of developing the tailored solution for a "big data" application. Aperture is an open, adaptable, and extensible Web 2.0 visualization framework, designed to produce visualizations for analysts and decision makers in any common web browser. Aperture utilizes a novel layer-based approach to visualization assembly, and a data mapping API that simplifies the process of transformation of data or analytic results into visual forms and properties.
Meeting Name
2012 IEEE Conference on Visual Analytics Science and Technology, VAST 2012 (2012: Oct. 14-19, Seattle, WA)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
- Agile,
- Big Data,
- Framework,
- Human Information Interaction,
- Toolkit,
- Visual Analytics,
- Visualization
International Standard Book Number (ISBN)
978-146734753-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2012 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
10-19-2012
Publication Date
19 Oct 2012
Citation Information
David Jonker, Scott Langevin, Peter Schretlen and Casey I. Canfield. "Agile Visual Analytics for Banking Cyber "Big Data"" Proceedings of the 2012 IEEE Conference on Visual Analytics Science and Technology (2012, Seattle, WA) (2012) p. 299 - 300 Available at: http://works.bepress.com/casey-canfield/20/