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Journal articles on the topic 'Information Visualization (InfoVis)'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Lima, Hugo B., Carlos G. R. Dos Santos, and Bianchi S. Meiguins. "A Survey of Music Visualization Techniques." ACM Computing Surveys 54, no. 7 (2021): 1–29. http://dx.doi.org/10.1145/3461835.

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Music Information Research (MIR) comprises all the research topics involved in modeling and understanding music. Visualizations are frequently adopted to convey better understandings about music pieces, and the association of music with visual elements has been practiced historically and extensively. We investigated papers related to music visualization and organized the proposals into categories according to their most prominent aspects: their input features, the aspects visualized, the InfoVis technique(s) used, if interaction was provided, and users’ evaluations. The MIR and the InfoVis com

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2

Soares, Anderson Gregório Marques, Elvis Thermo Carvalho Miranda, Rodrigo Santos do Amor Divino Lima, Carlos Gustavo Resque dos Santos, and Bianchi Serique Meiguins. "Depicting More Information in Enriched Squarified Treemaps with Layered Glyphs." Information 11, no. 2 (2020): 123. http://dx.doi.org/10.3390/info11020123.

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The Treemap is one of the most relevant information visualization (InfoVis) techniques to support the analysis of large hierarchical data structures or data clusters. Despite that, Treemap still presents some challenges for data representation, such as the few options for visual data mappings and the inability to represent zero and negative values. Additionally, visualizing high dimensional data requires many hierarchies, which can impair data visualization. Thus, this paper proposes to add layered glyphs to Treemap’s items to mitigate these issues. Layered glyphs are composed of N partially v

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3

Çöltekin, A., I. Lokka, and M. Zahner. "ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 387–92. http://dx.doi.org/10.5194/isprs-archives-xli-b2-387-2016.

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Whether and when should we show data in 3D is an on-going debate in communities conducting visualization research. A strong opposition exists in the information visualization (Infovis) community, and seemingly unnecessary/unwarranted use of 3D, e.g., in plots, bar or pie charts, is heavily criticized. The scientific visualization (Scivis) community, on the other hand, is more supportive of the use of 3D as it allows ‘seeing’ invisible phenomena, or designing and printing things that are used in e.g., surgeries, educational settings etc. Geographic visualization (Geovis) stands between the Info

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4

Sindiy, Oleg, Krystof Litomisky, Scott Davidoff, and Frank Dekens. "Introduction to Information Visualization (InfoVis) Techniques for Model-Based Systems Engineering." Procedia Computer Science 16 (2013): 49–58. http://dx.doi.org/10.1016/j.procs.2013.01.006.

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5

Çöltekin, A., I. Lokka, and M. Zahner. "ON THE USABILITY AND USEFULNESS OF 3D (GEO)VISUALIZATIONS – A FOCUS ON VIRTUAL REALITY ENVIRONMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 387–92. http://dx.doi.org/10.5194/isprsarchives-xli-b2-387-2016.

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Whether and when should we show data in 3D is an on-going debate in communities conducting visualization research. A strong opposition exists in the information visualization (Infovis) community, and seemingly unnecessary/unwarranted use of 3D, e.g., in plots, bar or pie charts, is heavily criticized. The scientific visualization (Scivis) community, on the other hand, is more supportive of the use of 3D as it allows ‘seeing’ invisible phenomena, or designing and printing things that are used in e.g., surgeries, educational settings etc. Geographic visualization (Geovis) stands between the Info

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6

Meiguins, Aruanda, Yuri Santos, Diego Santos, Bianchi Meiguins, and Jefferson Morais. "Visual Analysis Scenarios for Understanding Evolutionary Computational Techniques’ Behavior." Information 10, no. 3 (2019): 88. http://dx.doi.org/10.3390/info10030088.

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Machine learning algorithms are used in many applications nowadays. Sometimes, we need to describe how the decision models created output, and this may not be an easy task. Information visualization (InfoVis) techniques (e.g., TreeMap, parallel coordinates, etc.) can be used for creating scenarios that visually describe the behavior of those models. Thus, InfoVis scenarios were used to analyze the evolutionary process of a tool named AutoClustering, which generates density-based clustering algorithms automatically for a given dataset using the EDA (estimation-of-distribution algorithm) evoluti

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7

Bertini, Enrico, and Giuseppe Santucci. "Give Chance a Chance: Modeling Density to Enhance Scatter Plot Quality through Random Data Sampling." Information Visualization 5, no. 2 (2006): 95–110. http://dx.doi.org/10.1057/palgrave.ivs.9500122.

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The problem of visualizing huge amounts of data is well known in information visualization. Dealing with a large number of items forces almost any kind of Infovis technique to reveal its limits in terms of expressivity and scalability. In this paper we focus on 2D scatter plots, proposing a ‘feature preservation’ approach, based on the idea of modeling the visualization in a virtual space in order to analyze its features (e.g., absolute density, relative density, etc.). In this way we provide a formal framework to measure the visual overlapping, obtaining precise quality metrics about the visu

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8

Peluffo-Ordóñez, Diego H. "Integrating Information Visualization and Dimensionality Reduction: A pathway to Bridge the Gap between Natural and Artificial Intelligence." TecnoLógicas 24, no. 51 (2021): e2108. http://dx.doi.org/10.22430/22565337.2108.

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By importing some natural abilities from human thinking into the design of computerized decision support systems, a cross-cutting trend of intelligent systems has emerged, namely, the synergetic integration between natural and artificial intelligence. While natural intelligence provides creative, parallel, and holistic thinking, its artificial counterpart is logical, accurate, able to perform complex and extensive calculations, and tireless. In the light of such integration, two concepts are important: controllability and interpretability. The former is defined as the ability of computerized s

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9

Schreder, Guenther, Florian Windhager, Michael Smuc, and Eva Mayr. "A Mental Models Perspective on Designing Information Visualizations for Political Communication." JeDEM - eJournal of eDemocracy and Open Government 8, no. 3 (2016): 80–99. http://dx.doi.org/10.29379/jedem.v8i3.443.

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Information visualizations (InfoVis) in the context of political communication are designed to convey a broad understanding of socio-political data and their multitude of intricately connected variables to the public. A cognitive framework to explain and empirically study how users acquire and organize their internal representations gained from InfoVis systems with multiple perspectives is still missing. In this paper we discuss the theory of mental models and its consequences for the design and research of InfoVis interfaces. Especially for multidimensional data, it is a challenge to design a

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10

Gelernter, Judith. "Visual Classification with Information Visualization (Infoviz) for Digital Library Collections." KNOWLEDGE ORGANIZATION 34, no. 3 (2007): 128–43. http://dx.doi.org/10.5771/0943-7444-2007-3-128.

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11

Cruz, Pedro, John Wihbey, Avni Ghael, Felipe Shibuya, and Stephen Costa. "Dendrochronology of U.S. immigration." Information Design Journal 25, no. 1 (2019): 6–20. http://dx.doi.org/10.1075/idj.25.1.01cru.

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Abstract Immigrants are central to the identity of the United States, the population of which has grown in number and diversity as a function of new arrivals from around the globe. This article describes a visualization project that uses the visual metaphor of tree rings to explore the contribution of immigrants to the country’s population. Immigrants and native-born persons are represented and differentiated as cells in trees, with layered annual rings capturing patterns of population growth. These rings register, in their shape and color, certain environmental conditions. In order to mimic t

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12

Acharya, Priyamvada, Robert Edwards, Rory Henderson, et al. "How Does HIV Env Structure Informs Vaccine Design?" Microscopy and Microanalysis 26, S2 (2020): 574–75. http://dx.doi.org/10.1017/s1431927620015135.

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BackgroundThe DHVI Division of Structural Biology seeks to use atomic level structural information for design of an effective HIV-1 vaccine. Through visualization of the HIV-1 envelope (Env) and its interactions with the human immune system, we obtain structural information that we translate into the rational development vaccine immunogensMethodsWe use negative stain electron microscopy (NSEM), cryo-electron microscopy (cryo-EM), and x-ray crystallography as the major structural techniques for visualization of HIV-1 Env, and combine these with biochemical and biophysical studies, as well as co

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13

Zacharopoulou, Dimitra, Andriani Skopeliti, and Byron Nakos. "Assessment and Visualization of OSM Consistency for European Cities." ISPRS International Journal of Geo-Information 10, no. 6 (2021): 361. http://dx.doi.org/10.3390/ijgi10060361.

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Volunteered Geographic Information (VGI) is a widely used data source in various fields and services, such as environmental monitoring, disaster and crisis management, SDI, and mapping. Quality is a critical factor for the usability of VGI. This study focuses on evaluating logical consistency based on the topological relationships between geographic features while considering semantics. It addresses internal (i.e., between thematic layers) and external (i.e., between specific features from different thematic layers) logical consistency. Attribute completeness is computed to support the use of

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14

Veeckman, Carina, and Laura Temmerman. "Urban Living Labs and Citizen Science: From Innovation and Science towards Policy Impacts." Sustainability 13, no. 2 (2021): 526. http://dx.doi.org/10.3390/su13020526.

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City governments are currently exploring different participatory mechanisms in order to meet the growing demand in society for deliberate decision-making. Through developments in sensing technology, data processing and visualization, citizen science is emerging as a powerful tool for the general public to participate in scientific research that informs policy. Citizen science can be used as an approach in Urban Living Labs, whereby public and private stakeholders are involved in innovation and data collection processes together with citizens. However, there is currently little synergy between

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15

Veeckman, Carina, and Laura Temmerman. "Urban Living Labs and Citizen Science: From Innovation and Science towards Policy Impacts." Sustainability 13, no. 2 (2021): 526. http://dx.doi.org/10.3390/su13020526.

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City governments are currently exploring different participatory mechanisms in order to meet the growing demand in society for deliberate decision-making. Through developments in sensing technology, data processing and visualization, citizen science is emerging as a powerful tool for the general public to participate in scientific research that informs policy. Citizen science can be used as an approach in Urban Living Labs, whereby public and private stakeholders are involved in innovation and data collection processes together with citizens. However, there is currently little synergy between

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16

Denomy, Connor, Conor Lazarou, Daniel Hogan, et al. "PIIKA 2.5: Enhanced quality control of peptide microarrays for kinome analysis." PLOS ONE 16, no. 9 (2021): e0257232. http://dx.doi.org/10.1371/journal.pone.0257232.

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Peptide microarrays consisting of defined phosphorylation target sites are an effective approach for high throughput analysis of cellular kinase (kinome) activity. Kinome peptide arrays are highly customizable and do not require species-specific reagents to measure kinase activity, making them amenable for kinome analysis in any species. Our group developed software, Platform for Integrated, Intelligent Kinome Analysis (PIIKA), to enable more effective extraction of meaningful biological information from kinome peptide array data. A subsequent version, PIIKA2, unveiled new statistical tools an

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17

Providakis, Stylianos, Chris D. F. Rogers, and David N. Chapman. "Assessing the Economic Risk of Building Damage due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM." Sustainability 12, no. 23 (2020): 10034. http://dx.doi.org/10.3390/su122310034.

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Due to the increasing use of underground space to align with sustainability needs, geohazard risk assessments have become a valuable tool for decision-making. One common issue in relation to urban geohazard assessments relates to ground movements due to tunneling affecting adjacent buildings. A framework for assessing costs related to subsequent building damage, using integrated data, statistics and considering the uncertainties involved, is presented in this paper. The proposed methodology provides an integration of Monte Carlo simulations to support uncertainty estimations with an analysis f

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18

Rahman, Protiva, Arnab Nandi, and Courtney Hebert. "Amplifying Domain Expertise in Clinical Data Pipelines." JMIR Medical Informatics 8, no. 11 (2020): e19612. http://dx.doi.org/10.2196/19612.

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Digitization of health records has allowed the health care domain to adopt data-driven algorithms for decision support. There are multiple people involved in this process: a data engineer who processes and restructures the data, a data scientist who develops statistical models, and a domain expert who informs the design of the data pipeline and consumes its results for decision support. Although there are multiple data interaction tools for data scientists, few exist to allow domain experts to interact with data meaningfully. Designing systems for domain experts requires careful thought becaus

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19

Qu, Jingye, and Jiangping Chen. "An investigation of benchmark image collections: how different from digital libraries?" Electronic Library 37, no. 3 (2019): 401–18. http://dx.doi.org/10.1108/el-10-2018-0195.

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Purpose This paper aims to introduce the construction methods, image organization, collection use and access of benchmark image collections to the digital library (DL) community. It aims to connect two distinct communities: the DL community and image processing researchers so that future image collections could be better constructed, organized and managed for both human and computer use. Design/methodology/approach Image collections are first identified through an extensive literature review of published journal articles and a web search. Then, a coding scheme focusing on image collections’ cr

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20

Guo, Liang, Ruchi Sharma, Lei Yin, Ruodan Lu, and Ke Rong. "Automated competitor analysis using big data analytics." Business Process Management Journal 23, no. 3 (2017): 735–62. http://dx.doi.org/10.1108/bpmj-05-2015-0065.

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Purpose Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to more traditional competitor analysis methods, the purpose of this paper is to provide operations managers with an innovative tool to monitor a firm’s market position and competitors in real time at higher resolution and lower cost than more traditional competitor analysis methods. Design/methodology/approach The authors combine the techniques of Web Crawler, Natural Language Processing and Machine Learning algo

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21

DiClaudio, Michael. "People analytics and the rise of HR: how data, analytics and emerging technology can transform human resources (HR) into a profit center." Strategic HR Review 18, no. 2 (2019): 42–46. http://dx.doi.org/10.1108/shr-11-2018-0096.

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Purpose Employee and workforce insights are the greatest competitive advantage for organizations dealing with the disruption and uncertainty driving dramatic changes in today’s workplace. Embedded in this is the growing expectation of the human resource (HR) function to understand how workforce analytics informs the business and fuels success. This paper aims to explore how the HR function can achieve this. Design/methodology/approach The evolution of the “Future of HR” and how it is moving from “descriptive and diagnostic” to “prescriptive and predictive.” Findings According to KPMG’s 2019 Fu

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22

"IoT based Smart Automation System with Analysis for Power Optimization." International Journal of Engineering and Advanced Technology 9, no. 4 (2020): 2318–23. http://dx.doi.org/10.35940/ijeat.d7562.049420.

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The increasing number of electrical devices and appliances has led to several problems such as over usage of power and wastage of power. These problems can be solved if the devices and appliances are monitored by analyzing their usage and controlling them on a regular basis. This project solves the emerging power crises by collecting data from appliances through IoT enabled microcontrollers. A cloud server is used to store collected data for analysis. The microcontroller is connected to the cloud server via Internet. A dashboard is presented to the user where the state of all the appliances ar

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23

Prasad, Shitala, and Tingting Chai. "Palmprint for Individual’s Personality Behavior Analysis." Computer Journal, June 23, 2020. http://dx.doi.org/10.1093/comjnl/bxaa045.

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Abstract Palmprint is an important key player in biometric family and also informs some extra basic personality details of an individual. In this paper, we utilize these extra information and designed an automated mobile vision (MV) system to extract principal lines from human palm and analyze them for behavioral significances. Hence, the main concern of this paper is to come up with a simple yet powerful low-level MV solution to extract the complex challenging features from palmprint. In the proposed system, the computational tasks are offloaded to a dedicated palmistry server and efficiently

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24

AlSaad, Rawan, Qutaibah Malluhi, Ibrahim Janahi, and Sabri Boughorbel. "Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma." BMC Medical Informatics and Decision Making 19, no. 1 (2019). http://dx.doi.org/10.1186/s12911-019-0951-4.

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Abstract Background Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-art performance for many healthcare prediction tasks. However, deep models lack interpretability, which is integral to successful decision-making and can lead to better patient care. In this paper, we build upon the contextual decomposition (CD) method, an algorithm for producing importance scores from long short-term memory networks (LSTMs)

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