Results 141 to 150 of about 4,757,893 (195)
Some of the next articles are maybe not open access.
Data Visualization: Featuring Interactive Visual Analysis
Computer Graphics Forum, 2011AbstractData visualization is an application‐driven field, that is always trying to satisfy its customers and to adapt to the demands, cultures, and workflows of many application areas. Therefore, it is difficult to keep focus on techniques and approaches that are not too application specific. A lot of good work on data visualization consists of single‐
openaire +1 more source
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, 2009
While many clever techniques have been proposed for visual analysis, most of these are "one of" and it is not easy to see how to combine multiple techniques. We propose an algebraic model capable of representing a large class of visual analysis operations on graph data.
Anna A. Shaverdian +3 more
openaire +1 more source
While many clever techniques have been proposed for visual analysis, most of these are "one of" and it is not easy to see how to combine multiple techniques. We propose an algebraic model capable of representing a large class of visual analysis operations on graph data.
Anna A. Shaverdian +3 more
openaire +1 more source
2018
Data Science offers a set of powerful approaches for making new discoveries from large and complex data sets. It combines aspects of mathematics, statistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human ...
Juhee Bae +3 more
openaire +1 more source
Data Science offers a set of powerful approaches for making new discoveries from large and complex data sets. It combines aspects of mathematics, statistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human ...
Juhee Bae +3 more
openaire +1 more source
SSRN Electronic Journal, 2003
We provide a practical and model independent technique that enables the risk manager · to understand and visualize credit portfolio structures, · to compare portfolio components as to their contribution of risk and positive occasion to the portfolio, · to receive some hints by what actions credit portfolio risk can be reduced and how its profitability ...
openaire +1 more source
We provide a practical and model independent technique that enables the risk manager · to understand and visualize credit portfolio structures, · to compare portfolio components as to their contribution of risk and positive occasion to the portfolio, · to receive some hints by what actions credit portfolio risk can be reduced and how its profitability ...
openaire +1 more source
2023
This presentation hightlights the role of visual data analysis in supporting research tasks in the field of digital humanities. While interactive data visualization constitutes an important means for presenting data and making results accessible, its potential as an enabling method for supporting data collection and as a tool for analyzing such ...
openaire +1 more source
This presentation hightlights the role of visual data analysis in supporting research tasks in the field of digital humanities. While interactive data visualization constitutes an important means for presenting data and making results accessible, its potential as an enabling method for supporting data collection and as a tool for analyzing such ...
openaire +1 more source
2013
Within the past decade more attention has been paid to visual literacy. This is particularly exciting, especially with the proliferation of visual messages that we encounter daily. Burnaford and her colleagues reviewed research (2007) on the arts and literacy and concluded that while these two disciplines had obvious connections, the idea that ...
openaire +1 more source
Within the past decade more attention has been paid to visual literacy. This is particularly exciting, especially with the proliferation of visual messages that we encounter daily. Burnaford and her colleagues reviewed research (2007) on the arts and literacy and concluded that while these two disciplines had obvious connections, the idea that ...
openaire +1 more source
2017
While whole body interaction can enrich user experience on public displays, it remains unclear how common visualizations of user representations impact users’ ability to perceive content on the display. In the work covered in this chapter, we use a head-mounted eye tracker to record visual behavior of 25 users interacting with a public display game ...
openaire +1 more source
While whole body interaction can enrich user experience on public displays, it remains unclear how common visualizations of user representations impact users’ ability to perceive content on the display. In the work covered in this chapter, we use a head-mounted eye tracker to record visual behavior of 25 users interacting with a public display game ...
openaire +1 more source
1997
Abstract This radical first course on complex analysis brings a beautiful and powerful subject to life by consistently using geometry (not calculation) as the means of explanation. Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack of advanced prerequisites, and consciously ...
openaire +1 more source
Abstract This radical first course on complex analysis brings a beautiful and powerful subject to life by consistently using geometry (not calculation) as the means of explanation. Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack of advanced prerequisites, and consciously ...
openaire +1 more source
2018
Text visualizations are the topic for this chapter. The chapter begins with general techniques to help create effective visualizations. From there, it moves to common visualizations used in text analysis. The chapter describes heat maps, word clouds, top term plots, cluster visualizations, topics over time, and network graphs.
Murugan Anandarajan +2 more
openaire +1 more source
Text visualizations are the topic for this chapter. The chapter begins with general techniques to help create effective visualizations. From there, it moves to common visualizations used in text analysis. The chapter describes heat maps, word clouds, top term plots, cluster visualizations, topics over time, and network graphs.
Murugan Anandarajan +2 more
openaire +1 more source