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We draw from the domains of Visual Analytics and Augmented Reality to support a new form of in-situ interactive visual analysis. We present a Situated Analytics model, a novel interaction, and a visualization concept for reasoning support. Situated Analytics has four primary elements: situated information, abstract information, augmented reality interaction, and analytical interaction.
Metabolic pathways are series of chemical reactions occurring in a cell. Various graph-based models are used to represent metabolic data. However, diverse problems may arise from adopting these models. A more accurate modeling framework can be offered by hypergraphs. In this paper, a new technique for visualizing hypergraphs using common graph drawing techniques is proposed. This method is implemented...
In Enterprise Architecture (EA) model analysis activities, it is critical to make early statements and diagnosis from a high level of abstraction. Currently, these tasks are difficult to perform, and they require both the involvement of experts and the elaboration of specialized artifacts. Further-more, the complexity of the tasks increases as models become bigger, more detailed, and start covering...
To make decisions about the long-term preservation and access of large digital collections, archivists gather information such as the collections' contents, their organizational structure, and their file format composition. To date, the process of analyzing a collection — from data gathering to exploratory analysis and final conclusions — has largely been conducted using pen and paper methods. To...
In visual analytics, sensemaking is facilitated through interactive visual exploration of data. Throughout this dynamic process, users combine their domain knowledge with the dataset to create insight. Therefore, visual analytic tools exist that aid sensemaking by providing various interaction techniques that focus on allowing users to change the visual representation through adjusting parameters...
This paper presents a working graph analytics model that embraces the strengths of the traditional top-down and bottom-up approaches with a resilient crossover concept to exploit the vast middle-ground information overlooked by the two extreme analytical approaches. Our graph analytics model is co-developed by users and researchers, who carefully studied the functional requirements that reflect the...
Information privacy typically concerns the confidentiality of personal identifiable information (PII) and protected health information (PHI) such as electronic medical records. Thus, the information access control mechanism for e-health services must be embedded with privacy-enhancing technologies. Role-based access control (RBAC) model has been widely investigated and applied to various applications...
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