i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Visual analytics for stochastic simulation in cell biology
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
AffectAura: an intelligent system for emotional memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Real-time visual analytics for event data streams
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Interactive visual analysis of families of curves using data aggregation and derivation
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Toward the role of interaction in visual analytics
Proceedings of the Winter Simulation Conference
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Interactive horizon graphs: improving the compact visualization of multiple time series
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of alternative glyph designs for time series data in a small multiple setting
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding anomalies in time-series using visual correlation for interactive root cause analysis
Proceedings of the Tenth Workshop on Visualization for Cyber Security
VisRuption: intuitive and efficient visualization of temporal airline disruption data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
Visual analysis of large-scale network anomalies
IBM Journal of Research and Development
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Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, or science. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them. This book starts with an introduction to visualization and historical examples of visual representations. At its core, the book presents and discusses a systematic view of the visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it is presented (visual representation). To support visual exploration, interaction techniques and analytical methods are required that are discussed in separate chapters. A large part of this book is devoted to a structured survey of 101 different visualization techniques as a reference for scientists conducting related research as well as for practitioners seeking information on how their time-oriented data can best be visualized.