Information Visualization: Concepts and Techniques Enabling Exploration, Discovery, and Insight within Large Data Sets (Big Data)
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Date
2013-02
Authors
Fabrizio, Brian T.
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
This annotated bibliography examines information visualization concepts and techniques supporting exploration, discovery, and crystallization of new knowledge based on visual recognition of hidden patterns and structures in big data (Offenhuber, 2010), and effectiveness evaluation methodologies within specific domains. Literature published between 2000 - 2012 suggests considerations for software development teams tasked with creating information visualization solutions. Results include a taxonomy of terms and concepts, a concept map, and over a dozen images demonstrating visualization techniques.
Description
143 pages
Keywords
Applied Information Management, AIM, Information visualization, Big data, Visualization techniques, Unstructured data, Information design, Structured data, Software development