Today's scientific and engineering problems require a different approach to address the massive data problems in organization, storage, transmission, visualization, exploration, and analysis. Visual techniques for data exploration are now common in many scientific, engineering, and business applications. However, the massive amount of data collected through simulation, collection and logging is inhibiting the use of conventional visualization methods. We need to discover new visualization methods that allow us to explore the massive multi-dimensional time-varying information streams and turn overwhelming tasks into opportunities for discovery and analysis
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...
Exponential increases in available computational resources over the recent decades have fueled an in...
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualiz...
The big amount of data generated nowadays are being used by Big Data tools to generate knowledge and...
Massive simulations and arrays of sensing devices, in combination with increasing computing resource...
Abstract: During the last decade Visual Exploration and Visual Data Mining techniques have proven to...
Scientific data visualization has finally come of age as an important and accepted discipline. While...
Visualization is a highly data intensive science: visualization algorithms take as input vast amount...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
The visual representation of complex data has always been a major motivation for computer graphics. ...
Application scientists face a challenge -- the need to analyze and understand ever larger and comple...
Scientific visualization is the transformation of abstract information into images, and it plays an ...
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...
Exponential increases in available computational resources over the recent decades have fueled an in...
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualiz...
The big amount of data generated nowadays are being used by Big Data tools to generate knowledge and...
Massive simulations and arrays of sensing devices, in combination with increasing computing resource...
Abstract: During the last decade Visual Exploration and Visual Data Mining techniques have proven to...
Scientific data visualization has finally come of age as an important and accepted discipline. While...
Visualization is a highly data intensive science: visualization algorithms take as input vast amount...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
During the last decade Visual Exploration and Visual Data Mining techniques have proven to be of hig...
The visual representation of complex data has always been a major motivation for computer graphics. ...
Application scientists face a challenge -- the need to analyze and understand ever larger and comple...
Scientific visualization is the transformation of abstract information into images, and it plays an ...
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...
Exponential increases in available computational resources over the recent decades have fueled an in...
One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to dat...