Interactive information visualization for exploratory intelligence data analysis

Author(s):  
J. Risch ◽  
R. May ◽  
J. Thomas ◽  
S. Dowson
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiang Lin

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization network rarely tries to construct such a network or explore the information association of the network. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in detail. Experimental results verify the effectiveness of the proposed algorithm.


2017 ◽  
Vol 37 (1) ◽  
pp. 254-272 ◽  
Author(s):  
Aritra Dasgupta ◽  
Dustin L. Arendt ◽  
Lyndsey R. Franklin ◽  
Pak Chung Wong ◽  
Kristin A. Cook

Author(s):  
Mark D. Lee ◽  
Lena Mamykina ◽  
Chandra Harrison

Diabetes requires continual monitoring of diet, glucose level, and other personal data so that a balance may be achieved between a desired lifestyle and one that is healthy and sustainable. While ubiquitous computing technologies can capture data necessary to make judgments, individuals need to be able to easily comprehend the data to draw conclusions. To help individuals with diabetis with this task, we designed two types of visualizations, a relational visualization using traditional graph-based techniques for presenting data, and a metaphorical visualization that conveys data using familiar, domain-specific imagery in an aesthetically pleasing composition. This paper presents a comparative analysis of these visualizations which indicated that older individuals with lower general graph-interpretation skills perform superior data analysis when using a visualization based on a familiar metaphor. These findings suggest that metaphorical visualizations constitute a viable alternative when designing informational displays for the elderly.


2021 ◽  
Vol 20 ◽  
pp. 352-361
Author(s):  
Xiang Lin

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. However, there are several defects with the research on information association of L&I visualization network: the lack of optimization of network layout algorithms, and the absence of L&I information fusion and comparison in multiple disciplines, in the big data environment. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network, and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in details. Experimental results verify the effectiveness of the proposed algorithm


Author(s):  
Juliana Coatrini Soares ◽  
Andrey Coatrini Soares ◽  
Valquiria da Cruz Rodrigues ◽  
Pedro Ramon Almeida Oiticica ◽  
Paulo Augusto Raymundo-Pereira ◽  
...  

We report on genosensors to detect an ssDNA sequence from the SARS-CoV-2 genome, which mimics the GU280 gp10 gene (coding the viral nucleocapsid phosphoprotein), using four distinct principles of detection...


2011 ◽  
Vol 10 (4) ◽  
pp. 289-309 ◽  
Author(s):  
Michael Gleicher ◽  
Danielle Albers ◽  
Rick Walker ◽  
Ilir Jusufi ◽  
Charles D. Hansen ◽  
...  

Data analysis often involves the comparison of complex objects. With the ever increasing amounts and complexity of data, the demand for systems to help with these comparisons is also growing. Increasingly, information visualization tools support such comparisons explicitly, beyond simply allowing a viewer to examine each object individually. In this paper, we argue that the design of information visualizations of complex objects can, and should, be studied in general, that is independently of what those objects are. As a first step in developing this general understanding of comparison, we propose a general taxonomy of visual designs for comparison that groups designs into three basic categories, which can be combined. To clarify the taxonomy and validate its completeness, we provide a survey of work in information visualization related to comparison. Although we find a great diversity of systems and approaches, we see that all designs are assembled from the building blocks of juxtaposition, superposition and explicit encodings. This initial exploration shows the power of our model, and suggests future challenges in developing a general understanding of comparative visualization and facilitating the development of more comparative visualization tools.


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