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Sense-Making of Critical Incidents with Sentiment Analysis and Data Visualization
EMJ - Engineering Management Journal, 2018In this article, we describe a process for applying sentiment analysis to accelerate the identification of topics and trends in datasets of critical incident responses.
Ashley Nolen Akerman +2 more
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Critical Data Visualization to Enhance Protection Schemes for State Estimation
IEEE Transactions on Smart Grid, 2023Intelligent electrical power grids, widely referred to as smart grids (SGs), rely on digital technology resources, especially communication and measurement devices, becoming a cyber-physical energy system. Massive data flow between grid elements makes smart grids more vulnerable to cyber-attacks.
Vinicius B. Braga Flôr +3 more
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Critical Data Visualization—Part I
IEEE Computer Graphics and ApplicationsThis is the second part of a two-part special issue on Critical Data Visualization. Our intent with these issues is to complicate and coalesce the visualization research community’s understanding of the meaning of critical visualization.
Georgia Panagiotidou 0001 +4 more
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AlphaViz: Visualization and validation of critical proteomics data directly at the raw data level
2022ABSTRACT Although current mass spectrometry (MS)-based proteomics identifies and quantifies thousands of proteins and (modified) peptides, only a minority of them are subjected to in-depth downstream analysis. With the advent of automated processing workflows, biologically or clinically important results within a study are rarely ...
Eugenia Voytik +8 more
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Data Visualization for Network Access Rules of Critical Infrastructure
2017Control systems widely used in the national infrastructures are mainly aimed at regular performances of the specified tasks. Therefore, whitelisting security solutions or program that define all usable assets and approachable relationships between rules are widely applied to. The working procedure of the whitelisting control system can be described not
An-Byeong Chae +4 more
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Visualization of the Critical Patterns of Missing Values in Classification Data
2007The patterns of missing values are important for assessing the quality of a classification data set and the validation of classification results. The paper discusses the critical patterns of missing values in a classification data set: missing at random, uneven symmetric missing, and uneven asymmetric missing.
Hai Wang 0008, Shouhong Wang
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2022 26th International Conference Information Visualisation (IV), 2022
The digital evolution of economies and markets brings changes that go largely beyond growth and efficiency. In the gig economy, also fueled by algorithmic management solutions, digital labour platforms (DPLs) raise significant issues that include power asymmetries, new forms of workers’ abuse and discrimination, algorithms’ opacity and over-control. In
Nicola Lettieri +3 more
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The digital evolution of economies and markets brings changes that go largely beyond growth and efficiency. In the gig economy, also fueled by algorithmic management solutions, digital labour platforms (DPLs) raise significant issues that include power asymmetries, new forms of workers’ abuse and discrimination, algorithms’ opacity and over-control. In
Nicola Lettieri +3 more
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Critical design and realization aspects of glyph-based 3D data visualization
Proceedings of the 25th Spring Conference on Computer Graphics, 2009Glyphs are useful for the effective visualization of multi-variate data. They allow for easily relating multiple data attributes to each other in a coherent visualization approach. While the basic principle of glyph-based visualization has been known for a long time, scientific interest has recently increased focus on the question of how to achieve a ...
Andreas E. Lie +2 more
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Visualization of multi-scale data sets in self-organized criticality sandpile model
1999 IEEE International Conference on Information Visualization (Cat. No. PR00210), 2000To study the three-dimensional evolution of a CA model of a sandpile as a function of control parameters, a computational steering approach was used. Sandpile profiles are calculated in real time and displayed in three dimensions simultaneously with the evolution plots of state variables.
B. Hnat, S. C. Chapman
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2021
Communicating data is a crucial skill in our data-driven world, but it is also largely underdeveloped in our education system. In the current data-driven society, data is prevalent in every occupation and has a deep influence on decision making. Data visualization is the ideal medium for human-to-human and computer-to-human data communication. Just the
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Communicating data is a crucial skill in our data-driven world, but it is also largely underdeveloped in our education system. In the current data-driven society, data is prevalent in every occupation and has a deep influence on decision making. Data visualization is the ideal medium for human-to-human and computer-to-human data communication. Just the
openaire +2 more sources