Results 271 to 280 of about 2,285,675 (298)

Spatial game analytics and visualization

2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013
The recently emerged field of game analytics and thedevelopment and adaptation of business intelligence techniques tosupport game design and development has given data-driventechniques a direct role in game development. Given that all digitalgames contain some sort of spatial operation, techniques for spatialanalysis had their share in these ...
Anders Drachen, Matthias Schubert
openaire   +4 more sources

Preparing Undergraduates for Visual Analytics

IEEE Computer Graphics and Applications, 2015
Visual analytics (VA) combines the strengths of human and machine intelligence to enable the discovery of interesting patterns in challenging datasets. Historically, most attention has been given to developing the machine component. But it is also essential to develop the abilities of the analysts themselves, especially at the beginning of their ...
openaire   +3 more sources

Evaluation: A Challenge for Visual Analytics

Computer, 2013
Because visual analytics has a broad scope and aims at knowledge discovery, evaluating the methods used in this field is challenging. Successful solutions are often found through trial and error, with solid guidelines and findings still lagging.
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Visual analytics

1st Europe Summer School on Data Science - SummerSchool '17, 2017
Visual analytics aims to combine the strengths of human and computer data processing. Visualization, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Sophisticated synergies are required for analyzing spatio-temporal data and solving spatio-temporal problems.
Natalia Andrienko, Gennady Andrienko
openaire   +1 more source

Visual Analytics and Information Retrieval

2013
Visual Analytics (VA) [1] is an emerging multi-disciplinary area that takes into account both ad-hoc and classical Data Mining (DM) algorithms and Information Visualization IV (IV) techniques, combining the strengths of human and electronic data processing.
openaire   +1 more source

Visualization and Visual Analytics in Autonomous Driving

IEEE Computer Graphics and Applications
Autonomous driving is no longer a topic of science fiction. Advancements of autonomous driving technologies are now reliable. Effectively harnessing the information is essential for enhancing the safety, reliability, and efficiency of autonomous vehicles. In this article, we explore the pivotal role of visualization and visual analytics (VA) techniques
openaire   +3 more sources

Deep-learning-based visual data analytics for smart construction management

Automation in Construction, 2021
Aritra Pal, Shang-Hsien Hsieh
exaly  

Visualization, visual analytics, and explainability

Information Visualization
Adrian Rusu, Nuno Datia, Kawa Nazemi, Quang Vinh Nguyen   +3 more
openaire   +2 more sources

Analytics and Visualization

2018
This book is not about how to do analytics. Rather, we will explore the specialized infrastructures and tools that support research on and exploration of health data at scale. Generally, this involves aggregating at least the clinical part of that data from a large number of digital health records.
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Explaining artificial intelligence with visual analytics in healthcare

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022
Katrien Verbert, Jeroen Ooge, Gregor Stiglic   +2 more
exaly