Relevant bibliographies by topics / Visualization Dashboard

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Visualization Dashboard'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Visualization Dashboard"

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Vázquez-Ingelmo, Andrea, Francisco José García-Peñalvo, Roberto Therón, and Miguel Ángel Conde. "Representing Data Visualization Goals and Tasks through Meta-Modeling to Tailor Information Dashboards." Applied Sciences 10, no. 7 (2020): 2306. http://dx.doi.org/10.3390/app10072306.

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Information dashboards are everywhere. They support knowledge discovery in a huge variety of contexts and domains. Although powerful, these tools can be complex, not only for the end-users but also for developers and designers. Information dashboards encode complex datasets into different visual marks to ease knowledge discovery. Choosing a wrong design could compromise the entire dashboard’s effectiveness, selecting the appropriate encoding or configuration for each potential context, user, or data domain is a crucial task. For these reasons, there is a necessity to automatize the recommendat
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Vanden Hautte, Sander, Pieter Moens, Joachim Van Herwegen, et al. "A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies." Sensors 20, no. 4 (2020): 1152. http://dx.doi.org/10.3390/s20041152.

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In industry, dashboards are often used to monitor fleets of assets, such as trains, machines or buildings. In such industrial fleets, the vast amount of sensors evolves continuously, new sensor data exchange protocols and data formats are introduced, new visualization types may need to be introduced and existing dashboard visualizations may need to be updated in terms of displayed sensors. These requirements motivate the development of dynamic dashboarding applications. These, as opposed to fixed-structure dashboard applications, allow users to create visualizations at will and do not have har
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Karami, Mahtab, and Reza Safdari. "From Information Management to Information Visualization." Applied Clinical Informatics 07, no. 02 (2016): 308–29. http://dx.doi.org/10.4338/aci-2015-08-ra-0104.

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SummaryThe development and implementation of a dashboard of medical imaging department (MID) performance indicators.Several articles discussing performance measures of imaging departments were searched for this study. All the related measures were extracted. Then, a panel of imaging experts were asked to rate these measures with an open ended question to seek further potential indicators. A second round was performed to confirm the performance rating. The indicators and their ratings were then reviewed by an executive panel. Based on the final panel’s rating, a list of indicators to be used wa
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Dixit, Ram A., Stephen Hurst, Katharine T. Adams, et al. "Rapid development of visualization dashboards to enhance situation awareness of COVID-19 telehealth initiatives at a multihospital healthcare system." Journal of the American Medical Informatics Association 27, no. 9 (2020): 1456–61. http://dx.doi.org/10.1093/jamia/ocaa161.

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Abstract The COVID-19 pandemic has led to the rapid expansion of telehealth services as healthcare organizations aim to mitigate community transmission while providing safe patient care. As technology adoption rapidly increases, operational telehealth teams must maintain awareness of critical information, such as patient volumes and wait times, patient and provider experience, and telehealth platform performance. Using a model of situation awareness as a conceptual foundation and a user-centered design approach we describe our process for rapidly developing and disseminating dashboard visualiz
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Stevencua, Stevencua, and Johan Setiawan. "Data Visualization of Poverty Level at Provinces in Indonesia from The year 2013-2015." International Journal of New Media Technology 5, no. 1 (2018): 8–12. http://dx.doi.org/10.31937/ijnmt.v5i1.813.

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The aim of this paper is to create a data visualization that can convey information on poverty distribution of every province in Indonesia and to find a connection with education level. The method used is Eight-step data visualization and data mining methodology. Data for this research are taken from BPS from the year 2013 to 2015. Data collected after the data extracted and cleansing is 6000 records. Time needed to convert data from several publications and put it into one Excel file is 2 weeks. Tableau is chosen as tools for creating the Data Visualization. With this tools, data showed in a
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Janssen, Anna, Candice Donnelly, Judy Kay, et al. "Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study." Journal of Medical Internet Research 22, no. 4 (2020): e13188. http://dx.doi.org/10.2196/13188.

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Background A large quantity of data is collected during the delivery of cancer care. However, once collected, these data are difficult for health professionals to access to support clinical decision making and performance review. There is a need for innovative tools that make clinical data more accessible to support health professionals in these activities. One approach for providing health professionals with access to clinical data is to create the infrastructure and interface for a clinical dashboard to make data accessible in a timely and relevant manner. Objective This study aimed to devel
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Sedrakyan, Gayane, Erik Mannens, and Katrien Verbert. "Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts." Journal of Computer Languages 50 (February 2019): 19–38. http://dx.doi.org/10.1016/j.jvlc.2018.11.002.

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Haber, Casey, and Robert Gove. "A Visualization Tool for Analyzing the Suitability of Software Libraries via Their Code Repositories." Electronic Imaging 2020, no. 1 (2020): 387–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.1.vda-387.

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Code repositories are a common way to archive software source code files. Understanding code repository content and history is important but can be difficult due to the complexity of code repositories. Most available tools are designed for users who are actively maintaining a code repository. In contrast, external developers need to assess the suitability of using a software library, e.g. whether its code repository has a healthy level of maintenance, and how much risk the external developers face if they depend on that code in their own project. In this paper, we identify six risks associated
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Chipley, M. Ryan, and Todd Barlow. "Executive Dashboard Widgets: A Performance-Based Comparative Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 5 (2007): 454–58. http://dx.doi.org/10.1177/154193120705100506.

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Executive dashboards have become popular in enterprise software applications. Consequently, much advice has been offered by private consulting firms on how best to design dashboards. This paper details a couple of studies testing the advice given by the dashboard experts. The results suggest that some of the notions about how dashboard widgets should be designed might be incorrect. The results indicate that colored widgets are not necessarily inferior to simpler, colorless widgets. Similarly, fancy widgets (i.e., those with three dimensional characteristics) were not demonstrated to be inferio
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Derick, Leony, Gayane Sedrakyan, Pedro J. Munoz-Merino, Carlos Delgado Kloos, and Katrien Verbert. "Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students." Journal of Research in Innovative Teaching & Learning 10, no. 2 (2017): 107–25. http://dx.doi.org/10.1108/jrit-05-2017-0011.

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Purpose The purpose of this paper is to evaluate four visualizations that represent affective states of students. Design/methodology/approach An empirical-experimental study approach was used to assess the usability of affective state visualizations in a learning context. The first study was conducted with students who had knowledge of visualization techniques (n=10). The insights from this pilot study were used to improve the interpretability and ease of use of the visualizations. The second study was conducted with the improved visualizations with students who had no or limited knowledge of
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Dissertations / Theses on the topic "Visualization Dashboard"

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Ahrsjö, Carl. "Real-time event based visualization of multivariate abstract datasets : Implementing and evaluating a dashboard visualization prototype." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170395.

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As datasets in general grow in size and complexity over time while the human cognitive ability to interpret said datasets essentially stays the same, it becomes important to enable intuitive visualization methods for analysis. Based on previous research in the field of information visualization and visual analytics, a dashboard visualization prototype handling real-time event based traffic was implemented and evaluated. The real-time data is collected by a script and sent to a self-implemented web server that opens up a websocket connection with the dashboard client where the data is then visu
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Lin, Binyuan. "Designing a post activity learning analytics dashboard through information visualization methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293416.

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Rapid developments in the educational system significantly facilitate the popularisation of education, making education more accessible. The learning process should be systematically analyzed to assist teaching, however, traditional learning systems provide limited support for educators. The learning analytics dashboard is, therefore, becoming a popular tool to provide insights into the learning process by analyzing and interpreting the collected data with effective visualizations. With the purpose of improving pedagogical decision-making, it is of importance to provide a comprehensive overvie
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Agerberg, David, and Linus Eriksson. "Från data till kunskap : En kvalitativ studie om interaktiv visualisering av big data genom dashboards." Thesis, Umeå universitet, Institutionen för informatik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-120823.

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Rapid growing volumes of data demands new solutions in terms of analysing and visualizing. The growing amount of data contains valuable information which organizations in a more digitized society need to manage. It is a major challenge to visualize data, both in a static and interactive way. Through visualization of big data follows several opportunities containing risk assessment and decision basis. Previous research indicates a lack of standards and guidelines considering the development of interactive dashboards. By studying factors of success from a user-centered perspective we proceeded w
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Åkesson, Emma. "Information visualization of network parameters in private cellular network solutions." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280858.

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In the upcoming years, industrial enterprises are expected to undergo a major transformation, as the Internet of Things (IoT) reaches widespread adoption. A key enabler behind this transformation, known as Industry 4.0, is the 5th generation of cellular networks (5G). Through privately owned networks, enterprises will be able to utilize the 5G technology to tailor the network to meet their needs in terms of security, reliability, and quality of service. Although much of the technology is currently in place, few efforts have been dedicated to help enterprises understand and optimise the value t
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AL-Haddad, Sadaf. "Visualisering : Vad anser användare vara en användarvänlig dashboard?" Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15504.

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Utvecklare tenderar att leverera meningslösa dashboards till användare på olika organisationer. En dashboard är en visuell skärm som presenterar det absolut viktigaste på en enda skärm för att användare därefter ska fatta beslut ifrån. Eftersom det är med hjälp av dashboards som beslut ska fattas är utseendet lika viktigt som att datat är korrekt. En utvecklare har i dagsläget oftast fria tyglar och visualiserar utefter egen erfarenhet och känsla vilket kan få användarna att inte sträva efter att arbeta med dashboarden. Med en användarvänlig dashboard blir det enklare för användaren att fatta
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Jacobsson, Andrea. "Dashboard : Realtidsvisualisering av flödet mellan skog och industri." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34067.

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Big data is a term used to describe large amounts of data. The aim of the work has been to develop an efcient system that analyzes large quantities of data. Which in this case is the transport of wood between forest and industry. By man- aging this amount of data, the user can quickly receive information about the lo- cation of the timber and compare historical data regarding it. This report de- scribes the work of implementing a dashboard that compiles "Big data" in real time and in a comprehensible way. The project uses scrum as a project tool. This means an iterative development where you w
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Katarina, Hägglund. "Presenting information through a dashboard for Smart Video evaluations : The process of developing a design for a marketing dashboard." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148454.

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Using the internet for watching videos or online shopping keeps growing, along with video advertisement to increase online sales. To know if the video actually increases the online sales, the owner of a video ad wants to do follow ups on how the video is doing, and get statistics. A different solution from the original video ads is Smart Video. It is an interactive video player with a clickable slideshow of products. This video can get even more types of statistics than a normal video, and today that statistic is not accessible for the Smart Video clients, without the help of someone from the
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Wehlin, Rebecka. "Framgångsfaktorer som påverkar skapandet av en användarvänlig försäljningsdashboard : En fallstudie på Two." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78920.

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Företag har i dagens samhälle stora mängder data som ökar ständigt och som därmed behöverhanteras. Företag ska kunna omvandla rådata till värdefull information som möjliggör bättrebeslutfattande. Bussiness Intelligence, även kallat BI, underlättar för företag att samla in, lagra ochanalysera sin data samt att de ger bättre underlag för beslutstöd. Ett känt verktyg som kan användassom en stödfunktion för beslutfattare är dashboard. En dashboard är en synlig presentation på en endaskärm som visar den allra viktigaste information som krävs för att kunna uppnå ett eller flera olikamål. Syftet med
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Cinelli, Ester. "Syndemic : A design prototype of a dashboard to understand pandemics beyond epidemiology." Thesis, Malmö universitet, Institutionen för konst, kultur och kommunikation (K3), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43624.

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This study wants to investigate how Interaction Design techniques can contribute to giving meaning to data visualization in a syndemic dashboard and to gain understanding from it. I am going to present to you a Syndemic Dashboard that has the goal of helping researchers to find trends, patterns and make predictions of the spread of Covid-19 in the Swedish context, collaborating with K3, IUR, DVMT, and the University of Oxford. In order to do this, I will first give an overview of what a dashboard is, dashboarding practices and interaction techniques, cognitive aspects involved to generate mean
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Engström, Kristina, and Mikaela Koller. "Real-time visualization of a digital learning platform." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139937.

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This master thesis report presents the development and results of a dashboard developed for Sanoma Utbildning. The learning platform, called SUD - Sanoma Utbildnig Digital, is a combination of exercises and reading material used by both students and teachers. The purpose of the application is to provide Sanoma Utbildning with valuable insights of the activity in SUD and was developed using agile methods. The dashboard should be easy to understand for both employees at Sanoma Utbildning and possible customers. The user interface has been developed with help from theory and by conducting three u
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Books on the topic "Visualization Dashboard"

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The Visualization Dashboard: Introduction. University of Illinois, 2016. http://dx.doi.org/10.4135/9781529773217.

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Datadriven Security Analysis Visualization And Dashboards. John Wiley & Sons Inc, 2014.

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Jacobs, Jay, and Bob Rudis. Data-Driven Security: Analysis, Visualization and Dashboards. Wiley & Sons, Incorporated, John, 2014.

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Data Visualization with Excel Dashboards and Reports. Wiley & Sons, Limited, John, 2021.

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Jacobs, Jay, and Bob Rudis. Data-Driven Security: Analysis, Visualization and Dashboards. Wiley & Sons, Incorporated, John, 2014.

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Harinath, Sivakumar. Dashboards, Reports, and Data Visualization with Microsoft Power Platform. Wiley & Sons Canada, Limited, John, 2020.

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Shekhar, Shashank. Apache Superset Quick Start Guide: Develop interactive visualizations by creating user-friendly dashboards. Packt Publishing, 2018.

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Shaffer, Jeffrey, Andy Cotgreave, and Steve Wexler. Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Wiley & Sons, Incorporated, John, 2017.

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The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Wiley, 2017.

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Knight, Brian, Devin Knight, Mitchell Pearson, and Manuel Quintana. Microsoft Power BI Quick Start Guide: Build dashboards and visualizations to make your data come to life. Packt Publishing, 2018.

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Book chapters on the topic "Visualization Dashboard"

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Goldmeier, Jordan, and Purnachandra Duggirala. "An Interactive Gantt Chart Dashboard, Data Visualization." In Dashboards for Excel. Apress, 2015. http://dx.doi.org/10.1007/978-1-4302-4945-0_14.

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Pappas, Lisa, and Lisa Whitman. "Riding the Technology Wave: Effective Dashboard Data Visualization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21793-7_29.

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Scharl, Arno, Alexander Hubmann-Haidvogel, Max Göbel, Tobi Schäfer, Daniel Fischl, and Lyndon Nixon. "Multimodal Analytics Dashboard for Story Detection and Visualization." In Video Verification in the Fake News Era. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0_10.

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Nik Alwi, Nik Nur Ayuni, Noor Hafizah Hassan, Ahmad Fazreen Baharuden, Nur Azaliah Abu Bakar, and Nurazean Maarop. "Data Visualization of Supplier Selection Using Business Intelligence Dashboard." In Advances in Visual Informatics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34032-2_7.

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de Castro Neto, Miguel, Marcel Nascimento, Pedro Sarmento, Sara Ribeiro, Teresa Rodrigues, and Marco Painho. "A Dashboard for Security Forces Data Visualization and Storytelling." In Lecture Notes in Information Systems and Organisation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14850-8_4.

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Elias, Micheline, and Anastasia Bezerianos. "Exploration Views: Understanding Dashboard Creation and Customization for Visualization Novices." In Human-Computer Interaction – INTERACT 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23768-3_23.

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Staron, Miroslaw, Kent Niesel, and Wilhelm Meding. "Selecting the Right Visualization of Indicators and Measures – Dashboard Selection Model." In Software Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24285-9_9.

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Wan Mohd, Wan Maseri Binti, Abdullah Embong, and Jasni Mohd Zain. "A Framework of Dashboard System for Higher Education Using Graph-Based Visualization Technique." In Networked Digital Technologies. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14292-5_7.

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Diamond, Sara, Rittika Basu, Shunrong Cao, and Ajaz Hussain. "The Canadian Cultural Diversity Dashboard: Data Storytelling and Visualization for the Cultural Sector." In Design, User Experience, and Usability: UX Research and Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78221-4_25.

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Mariano, Greice C., Veda Adnani, Iman Kewalramani, et al. "Designing a Dashboard Visualization Tool for Urban Planners to Assess the Completeness of Streets." In Human Interface and the Management of Information. Designing Information. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50020-7_6.

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Conference papers on the topic "Visualization Dashboard"

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Yermalovich, Pavel. "Dashboard Visualization Techniques in Information Security." In 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2020. http://dx.doi.org/10.1109/isncc49221.2020.9297291.

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Kostkova, Patty, Stephan Garbin, Justin Moser, and Wendy Pan. "Integration and visualization public health dashboard." In the 23rd International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579276.

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Williams, Trefor, and John Betak. "Visualization of Railroad Equipment Accident Causes Using Data Visualization Systems and GIS." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2239.

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The objective of this paper is to demonstrate how GIS and data visualization systems can be used to identify spatial relationships to add to our understanding of railroad accident factors. Examples are given of the spatial analysis of broken rail accidents and grade crossing accidents on GIS maps. Additionally, using the Weave data visualization system a data dashboard was constructed that shows the complex interaction between variables like track type, FRA track classification, train speed and track density with broken rail accident causes. The findings indicate that broken rail accidents occ
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Kumar, S. M., and Meena Belwal. "Performance dashboard: Cutting-edge business intelligence and data visualization." In 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon). IEEE, 2017. http://dx.doi.org/10.1109/smarttechcon.2017.8358558.

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Brandt, Sebastian, Michael Striewe, Fabian Beck, and Michael Goedicke. "A Dashboard for Visualizing Software Engineering Processes Based on ESSENCE." In 2017 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2017. http://dx.doi.org/10.1109/vissoft.2017.14.

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Orlando, Tjan Marco, and Wikan Danar Sunindyo. "Designing dashboard visualization for heterogeneous stakeholders (case study: ITB central library)." In 2017 International Conference on Data and Software Engineering (ICoDSE). IEEE, 2017. http://dx.doi.org/10.1109/icodse.2017.8285872.

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Wang, Nicole, Martin K. C. Yeh, Andrea Gregg, Chenyang Zhu, Amy Garbrick, and Kyle Peck. "Beyond Academic Grade Dashboard: Integrating Performance Visualization to Increase Peer Support." In 7th Annual International Conference on Education & e-Learning (EeL 2017). GSTF, 2017. http://dx.doi.org/10.5176/2251-1814_eel17.36.

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Bañeres, David, Abdulkadir Karadeniz, Ana Elena Guerrero-Roldan, and M. Elena Rodriguez. "DATA LEGIBILITY AND MEANINGFUL VISUALIZATION THROUGH A LEARNING INTELLIGENT SYSTEM DASHBOARD." In 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.1619.

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Camargo, Diego, Felipe Nunes Gaia, Tania Basso, and Regina Lúcia de Oliveira Moraes. "A Dashboard for System Trustworthiness Properties Evaluation." In XXI Workshop de Testes e Tolerância a Falhas. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wtf.2020.12487.

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Understanding the trustworthiness of a cloud system is a difficult task, because it encompasses a large diversity of properties such as security, privacy, performance, among others. Evaluating and improving the system regarding trustworthiness require the analysis of huge data considering their historical status. The goal of this paper is to present a dashboard developed for the visualization of these properties, the relationship among them and their relevance in the composition of a trustworthiness score over usage time.
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Sasai, Shota, Itaru Kitahara, Yoshinari Kameda, et al. "MR Visualization of Wheel Trajectories of Driving Vehicle by Seeing-Through Dashboard." In 2015 IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW). IEEE, 2015. http://dx.doi.org/10.1109/ismarw.2015.17.

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Reports on the topic "Visualization Dashboard"

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Murphy, Joe J., Michael A. Duprey, Robert F. Chew, Paul P. Biemer, Kathleen Mullan Harris, and Carolyn Tucker Halpern. Interactive Visualization to Facilitate Monitoring Longitudinal Survey Data and Paradata. RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0061.1905.

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Surveys often require monitoring during data collection to ensure progress in meeting goals or to evaluate the interim results of an embedded experiment. Under complex designs, the amount of data available to monitor may be overwhelming and the production of reports and charts can be costly and time consuming. This is especially true in the case of longitudinal surveys, where data may originate from multiple waves. Other such complex scenarios include adaptive and responsive designs, which were developed to act on the results of such monitoring to implement prespecified options or alternatives
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Bao, Jieyi, Xiaoqiang Hu, Cheng Peng, Yi Jiang, Shuo Li, and Tommy Nantung. Truck Traffic and Load Spectra of Indiana Roadways for the Mechanistic-Empirical Pavement Design Guide. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317227.

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The Mechanistic-Empirical Pavement Design Guide (MEPDG) has been employed for pavement design by the Indiana Department of Transportation (INDOT) since 2009 and has generated efficient pavement designs with a lower cost. It has been demonstrated that the success of MEPDG implementation depends largely on a high level of accuracy associated with the information supplied as design inputs. Vehicular traffic loading is one of the key factors that may cause not only pavement structural failures, such as fatigue cracking and rutting, but also functional surface distresses, including friction and smo
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