A Visual Analytics Agenda

By James J. Thomas, Kristin A. Cook. IEEE Computer Graphics and Applications, 2006

328 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/4336286c80e30063835cc03dbd414ad06b8126e0

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Citations in the corpus

Visual Methods for Analyzing Time-Oriented Data (2008, background): “According to Thomas and Cook [2], it is in general a problem that " Most visualization software is developed with incomplete information about the data and tasks...”
Visualizing time-oriented data - A systematic view (2007, methodology): “To communicate such data abstractions efficiently, a better integration of analytical and visual methods is required [1] These three criteria for data-centric aspects are intentionally settled at a quite high level of abstraction.”
Visual Analytics: Scope and Challenges (2008, background): “In this context, production is defined as the creation of materials that summarize the results of an analytical effort, presentation as the packaging of those materials in a way that helps the audience understand the analytical results in context using terms that are meaningful to them, and dissemin”
Information Retrieval for E-Discovery (2013, background): “This combination has come to be called “visual analytics” [78, 85, 150].”
Software traceability: trends and future directions (2014, background): “Visual analytics are now a common form of support for decision-making activities in many fields of endeavor [87] and advice on selecting suitable visualization techniques is readily available [50, 82, 76].”
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “A central goal is " to synthesize different types of information from different sources into a unified data representation " [4].”
Challenges in Visual Data Analysis (2006, background): “…summarize the results of an analytical effort, presentation as the packaging of those materials in a way that helps the audience understand the analytical results using terms that are meaningful to them, and dissemination as the process of sharing that information with the intended audience [11].”