Her primary areas of investigation include Visualization, Data mining, Information visualization, Visual analytics and Data science. Her research in Visualization is mostly focused on Data visualization. Her study on Temporal database is often connected to Abstraction as part of broader study in Data mining.
Her work is dedicated to discovering how Information visualization, User interface are connected with Usability, GRASP and Syntax and other disciplines. Her Interactive visual analysis study in the realm of Visual analytics interacts with subjects such as Dynamic network analysis. In Data science, Silvia Miksch works on issues like Quality, which are connected to Taxonomy.
Silvia Miksch mainly investigates Visualization, Visual analytics, Data science, Human–computer interaction and Information visualization. She does research in Visualization, focusing on Data visualization specifically. Her work in the fields of Visual analytics, such as Interactive visual analysis, intersects with other areas such as Set.
Her Data science research integrates issues from Quality and Field. Her study in Human–computer interaction is interdisciplinary in nature, drawing from both Creative visualization, User interface, Multimedia and Interactive visualization. Silvia Miksch works mostly in the field of Process, limiting it down to topics relating to Software engineering and, in certain cases, Task and Plan.
Silvia Miksch spends much of her time researching Visual analytics, Visualization, Data science, Process and Data visualization. The Visual analytics study combines topics in areas such as Information retrieval and Time series. Her studies deal with areas such as Workflow and Human–computer interaction as well as Visualization.
Her Data science research is multidisciplinary, relying on both Quality, Field, Order and Decision support system. Her Process research is multidisciplinary, incorporating perspectives in Domain, Digital humanities, Application domain and Usability. Her studies deal with areas such as Data modeling and Computer graphics as well as Data visualization.
Silvia Miksch focuses on Visual analytics, Visualization, Data science, Data visualization and Information visualization. Her Visual analytics research includes elements of Univariate, Multivariate statistics, Time series, Plot and Process. Her study in Visualization is interdisciplinary in nature, drawing from both Information retrieval, Workflow and Human–computer interaction.
Her Data science research incorporates themes from Field, Order and Knowledge-based systems. Her Data visualization research is multidisciplinary, relying on both Tacit knowledge, Data modeling, Knowledge economy, Explicit knowledge and Conceptual model. Her work deals with themes such as Variety, State, Set and Data model, which intersect with Information visualization.
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Visualization of Time-Oriented Data
Wolfgang Aigner;Silvia Miksch;Heidrun Schumann;Christian Tominski.
Comparing computer-interpretable guideline models: a case-study approach.
Mor Peleg;Samson W. Tu;Jonathan Bury;Paolo Ciccarese.
Journal of the American Medical Informatics Association (2003)
THE ASGAARD PROJECT: A TASK-SPECIFIC FRAMEWORK FOR THE APPLICATION AND CRITIQUING OF TIME-ORIENTED CLINICAL GUIDELINES
Yuval Shahar;Silvia Miksch;Peter D. Johnson.
Artificial Intelligence in Medicine (1998)
Visualizing time-oriented data-A systematic view
Wolfgang Aigner;Silvia Miksch;Wolfgang Müller;Heidrun Schumann.
Computers & Graphics (2007)
Visual Methods for Analyzing Time-Oriented Data
W. Aigner;S. Miksch;W. Muller;H. Schumann.
IEEE Transactions on Visualization and Computer Graphics (2008)
Interactive Information Visualization to Explore and Query Electronic Health Records
Alexander Rind;Taowei David Wang;Wolfgang Aigner;Silvia Miksch.
ASBRU: A TASK-SPECIFIC, INTENTION-BASED, AND TIME-ORIENTED LANGUAGE FOR REPRESENTING SKELETAL PLANS
Silvia Miksch;Yuval Shahar;Peter Johnson.
Connecting time-oriented data and information to a coherent interactive visualization
Ragnar Bade;Stefan Schlechtweg;Silvia Miksch.
human factors in computing systems (2004)
Semantic depth of field
R. Kosara;S. Miksch;H. Hauser.
ieee symposium on information visualization (2001)
Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants
Silvia Miksch;Werner Horn;Werner Horn;Christian Popow;Franz Paky.
Artificial Intelligence in Medicine (1996)
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