Academic literature on the topic 'Timeline visualization'

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Journal articles on the topic "Timeline visualization"

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Olsson, Jens, and Martin Boldt. "Computer forensic timeline visualization tool." Digital Investigation 6 (September 2009): S78—S87. http://dx.doi.org/10.1016/j.diin.2009.06.008.

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Nguyen, Phong H., Kai Xu, Rick Walker, and BL William Wong. "TimeSets: Timeline visualization with set relations." Information Visualization 15, no. 3 (October 12, 2015): 253–69. http://dx.doi.org/10.1177/1473871615605347.

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In this article, we introduce a novel timeline visualization technique, TimeSets, that helps make sense of complex temporal datasets by showing the set relationships among individual events. TimeSets visually groups events that share a topic, such as a place or a person, while preserving their temporal order. It dynamically adjusts the level of detail for each event to suit the amount of information and display estate. Various design options were explored to address issues such as one event belonging to multiple topics. A controlled experiment was conducted to evaluate its effectiveness by comparing it to the KelpFusion method. The results showed significant advantage in accuracy and user preference.
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Belden, Jeffery L., Pete Wegier, Jennifer Patel, Andrew Hutson, Catherine Plaisant, Joi L. Moore, Nathan J. Lowrance, Suzanne A. Boren, and Richelle J. Koopman. "Designing a medication timeline for patients and physicians." Journal of the American Medical Informatics Association 26, no. 2 (December 24, 2018): 95–105. http://dx.doi.org/10.1093/jamia/ocy143.

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AbstractObjectiveMost electronic health records display historical medication information only in a data table or clinician notes. We designed a medication timeline visualization intended to improve ease of use, speed, and accuracy in the ambulatory care of chronic disease.Materials and MethodsWe identified information needs for understanding a patient medication history, then applied human factors and interaction design principles to support that process. After research and analysis of existing medication lists and timelines to guide initial requirements, we hosted design workshops with multidisciplinary stakeholders to expand on our initial concepts. Subsequent core team meetings used an iterative user-centered design approach to refine our prototype. Finally, a small pilot evaluation of the design was conducted with practicing physicians.ResultsWe propose an open-source online prototype that incorporates user feedback from initial design workshops, and broad multidisciplinary audience feedback. We describe the applicable design principles associated with each of the prototype’s key features. A pilot evaluation of the design showed improved physician performance in 5 common medication-related tasks, compared to tabular presentation of the same information.DiscussionThere is industry interest in developing medication timelines based on the example prototype concepts. An open, standards-based technology platform could enable developers to create a medication timeline that could be deployable across any compatible health IT application.ConclusionThe design goal was to improve physician understanding of a patient’s complex medication history, using a medication timeline visualization. Such a design could reduce temporal and cognitive load on physicians for improved and safer care.
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Aoyama, David A., Jen-Ting T. Hsiao, Alfonso F. Cárdenas, and Raymond K. Pon. "TimeLine and visualization of multiple-data sets and the visualization querying challenge." Journal of Visual Languages & Computing 18, no. 1 (February 2007): 1–21. http://dx.doi.org/10.1016/j.jvlc.2005.11.002.

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Ono, Jorge P., Carlos Dietrich, and Claudio T. Silva. "Baseball Timeline: Summarizing Baseball Plays Into a Static Visualization." Computer Graphics Forum 37, no. 3 (June 2018): 491–501. http://dx.doi.org/10.1111/cgf.13436.

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Elmqvist, Niklas, and Philippas Tsigas. "CiteWiz: A Tool for the Visualization of Scientific Citation Networks." Information Visualization 6, no. 3 (September 2007): 215–32. http://dx.doi.org/10.1057/palgrave.ivs.9500156.

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We present CiteWiz, an extensible framework for visualization of scientific citation networks. The system is based on a taxonomy of citation database usage for researchers, and provides a timeline visualization for overviews and an influence visualization for detailed views. The timeline displays the general chronology and importance of authors and articles in a citation database, whereas the influence visualization is implemented using the Growing Polygons technique, suitably modified to the context of browsing citation data. Using the latter technique, hierarchies of articles with potentially very long citation chains can be graphically represented. The visualization is augmented with mechanisms for parent–child visualization and suitable interaction techniques for interacting with the view hierarchy and the individual articles in the dataset. We also provide an interactive concept map for keywords and co-authorship using a basic force-directed graph layout scheme. A formal user study indicates that CiteWiz is significantly more efficient than traditional database interfaces for high-level analysis tasks relating to influence and overviews, and equally efficient for low-level tasks such as finding a paper and correlating bibliographical data.
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TabinHasan, Khandaker, Sheikh Shaugat Abdullah, Rezwan Ahmed, and Fausto Giunchiglia. "The History of Temporal Data Visualization and a Proposed Event Centric Timeline Visualization Model." International Journal of Computer Applications 70, no. 27 (May 31, 2013): 27–33. http://dx.doi.org/10.5120/12241-8497.

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KÖKTÜRK, Gökhan Veli. "Tarihsel Gelişim Süreci İçerisinde Türk Sosyolojisi." Sosyolojik Bağlam Dergisi 2, April 2021 (April 15, 2021): 77–92. http://dx.doi.org/10.52108/2757-5942.2.1.5.

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This study, which contributes to the studies on sociologists and their works, which have an important place in the studies of determining the history of Turkish sociology, was formed by the theoretical combination of visualization and the history of Turkish Sociology. Studies to create a timeline are studies that cover the events that are effective in a certain period and which can be considered as a turning point in the development of, and their effects on, sociology. The aim is to select the events that are effective in the development of sociology as the main determinants and to bring to the fore among many factors. The process of creating a timeline differs from the history of sociology and falls within the scope of sociology of History. The integrity of a large number of variables is emphasized without looking for any linearity or causality relationship in the timeline studies. The most important part of the studies on creating a historical timeline is the visualization phase. A link should be established using visualization between Turkish sociology and the digital world. Thus, the history of Turkish sociology can be passed on to future generations. In this sense, narration, understanding and interpretation are important steps to be taken in the construction of society. In addition, the topics covered in the study that shape Turkish sociology are the events and phenomena that affect the structuring in the world.
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YASUDA, H., R. KAIHARA, S. SAITO, and M. NAKAJIMA. "Motion Belts: Visualization of Human Motion Data on a Timeline." IEICE Transactions on Information and Systems E91-D, no. 4 (April 1, 2008): 1159–67. http://dx.doi.org/10.1093/ietisy/e91-d.4.1159.

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Ruan, Wenjing, Haiyan Hou, and Zhigang Hu. "Detecting Dynamics of Hot Topics with Alluvial Diagrams: A Timeline Visualization." Journal of Data and Information Science 2, no. 3 (August 22, 2017): 37–48. http://dx.doi.org/10.1515/jdis-2017-0013.

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Abstract Purpose In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers’ interests. Research topics in scientometrics were constantly subdivided and re-merged. For example, a cluster involving “industry” was divided into several topics as research progressed. Research limitations When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.
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Dissertations / Theses on the topic "Timeline visualization"

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Shaik, Mastan Vali. "Design and Implementation of Timeline Application for News Documents." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1197674770.

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Singh, Mahim. "SOFTVIZ, a step forward." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-135703/.

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Thesis (M.S.)--Worcester Polytechnic Institute.
Keywords: Eclipse plug-in; tracer; timeline; software visualization; sunburst; SoftViz; ParaVis; error categorization framework; debugging; program understanding. Includes bibliographical references (p. 85-89).
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O'Neill, Mary Katherine. "Old Stories and New Visualizations: Digital Timelines as Public History Projects." Master's thesis, Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/322948.

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History
M.A.
This thesis explores the use and potential of digital timelines in public history projects. Digital timelines have become a popular and accessible ways for institutions and individuals to write history. The history of timelines indicates that people understand timelines as authoritative information visualizations because they represent concrete events in absolute time. The goals of public history often conflict with the linear, progressive nature of most timelines. This thesis reviews various digital timeline tools and uses The Print Center's Centennial Timeline as an in-depth case study that takes into account the multifaceted factors involved in creating a digital timeline. Digital history advocates support digital scholarship as an alternative to traditional narrative writing. This thesis illustrates that digital timelines can enable people to visualize history in unexpected ways, fostering new arguments and creative storytelling. Despite their potential, digital timelines often replicate the conventions of their paper counterparts because of the authoritative nature of the timeline form.
Temple University--Theses
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Polowinski, Jan. "Visualisierung großer Datenmengen im Raum." Thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-108506.

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Large, strongly connected amounts of data, as collected in knowledge bases or those occurring when describing software, are often read slowly and with difficulty by humans when they are represented as spreadsheets or text. Graphical representations can help people to understand facts more intuitively and offer a quick overview. The electronic representation offers means that are beyond the possibilities of print such as unlimited zoom and hyperlinks. This paper addresses a framework for visualizing connected information in 3D-space taking into account the techniques of media design to build visualization structures and map information to graphical properties
Große, stark vernetzte Datenmengen, wie sie in Wissensbasen oder Softwaremodellen vorkommen, sind von Menschen oft nur langsam und mühsam zu lesen, wenn sie als Tabellen oder Text dargestellt werden. Graphische Darstellungen können Menschen helfen, Tatsachen intuitiver zu verstehen und bieten einen schnellen Überblick. Die elektronische Darstellung bietet Mittel, welche über die Möglichkeiten von Print hinausgehen, wie z.B. unbegrenzten Zoom und Hyperlinks. Diese Arbeit stellt ein Framework für die Visualisierung vernetzter Informationen im 3D-Raum vor, welches Techniken der Gestaltung zur Erstellung von graphischen Strukturen und zur Abbildung von Informationen auf graphische Eigenschaften berücksichtigt
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Yang, Wei-ling, and 楊惟玲. "A Design Study on the Column Number and Information Visualization Style of Timeline User Interface." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/01469333448168390722.

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碩士
國立臺灣科技大學
設計研究所
100
This study investigatesthe user interface presentation of timing in the computer and networkingtechnology development. Timeline is a new development for manycomputing technology in order to help good memory from the unreliable humanmemory. The questions of this study are how to integrate personalinformation in the form of timeline on dynamic web pages? How to sequence atimeline to collect information in order to fit for individualthinking? Taking social networking software as an example, it isimportant to select a right strategy to record a huge amount of informationsharing from the Internet based on the users' needs. What is a goodway to review, screening, and mining useful message from massive memory? Thereare many ways to help people deal with memory, such as presentation ofweb-design, concept of page level, function of hiding and showing, in anetworking environment. Timeline has not only been the way to dealwith information but also the way to judge and decide how to act by shaping users'consciousness by all kinds of new development on presentation oftiming. The way to design a good user interface in a form oftimeline should be a key issue for software engineering. Thisdevelopment has deep Impacts on various networking behavior and has madechanges on the world of human communication in term of interactiverelationship. In this study, differentfunctions of the timeline user interface from different software programs havebeen tested for knowing users’ needs from a service-oriented point of view. Toobserve users’ behaviors from the Internet is the way to conduct this researchin order to find out the friendliest user interface in form oftimeline. The result shows firstly the symbol type of performance isthe best way of recording explicit information. Secondly, it is alsorecommended that a single field of timeline is the best strategy to integrateinformation over time. Thirdly, functional areas in the left columnare very helpful to build an index of information in systematic settings formost people.
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Hu, Keyun. "VisArchive: A Time and Relevance Based Visual Interface for Searching, Browsing, and Exploring Project Archives (with Timeline and Relevance Visualization)." Thesis, 2014. http://hdl.handle.net/1828/5235.

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Project file archives are becoming increasingly large. The number of files, information and data that need to be created, accessed and modified throughout a project can be overwhelming. It is critical for project participants or contributors to find relevant information in project archives quickly. In this thesis, I present VisArchive, an interactive visualization tool that provides users with better awareness of search results within project archives. VisArchive visualizes the relevance-ranked search results with a color-coded stacked bar chart and interactive timelines and provides supporting visual cues to help differentiate search results based on searched keywords. It aims to allow users to interactively search, browse, and explore information in project archives, including access history, effectively and efficiently. I will present two case studies to illustrate how VisArchive can be used to support searching, browsing, and exploring information in building construction and open source software projects. In addition, I discuss how VisArchive can be improved to address information retrieval problems and work across different domains. VisArchive demonstrates the combination and application of several visualization techniques to the problem of searching and navigating project archives.
Graduate
0984
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Jänicke, Stefan. "Timages: Enhancing Time Graphs with Iconographic Information." 2018. https://ul.qucosa.de/id/qucosa%3A32800.

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Various time-based visualization techniques have been designed to support the temporal analysis of data collections. While quantities play a secondary role in traditional timelines that reserve space for each individual data item to be observed, time graphs rather display quantitative information and they provide interaction means to filter for a subset of the data. Timages is a hybrid approach that enhances quantitative time graphs with qualitative information in an infographic-style. By (1) scaling thumbnails of data items dependent on relevance to the observed topic and by (2) time-dependent positioning these thumbnails inside a temporally aligned area with a novel space-filling strategy, the most relevant items in the entire data collection as well as predominant data items of certain time ranges are instantly seizable without the need to interact with the time graph.
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Polowinski, Jan. "Visualisierung großer Datenmengen im Raum: Großer Beleg." Thesis, 2006. https://tud.qucosa.de/id/qucosa%3A26757.

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Large, strongly connected amounts of data, as collected in knowledge bases or those occurring when describing software, are often read slowly and with difficulty by humans when they are represented as spreadsheets or text. Graphical representations can help people to understand facts more intuitively and offer a quick overview. The electronic representation offers means that are beyond the possibilities of print such as unlimited zoom and hyperlinks. This paper addresses a framework for visualizing connected information in 3D-space taking into account the techniques of media design to build visualization structures and map information to graphical properties.:1 EINFÜHRUNG S. 9 1.1 Zusammenfassung des Gestaltungsentwurfs S. 9 1.2 Ziel des Belegs S. 10 1.3 Interdisziplinäres Projekt S. 10 2 VORGEHEN S. 12 2.1 Ablauf S. 12 2.2 Konkrete Beispielinhalte S. 13 2.3 Beispielimplementierung S. 13 3 DATENMODELL S. 15 3.1 Ontologien S. 15 3.2 Ontologie Konstruktion S. 15 3.3 Analyse der Domain Design S. 18 3.8 Erstes Ordnen S. 19 3.9 Verwendete Ontologie-Struktur S. 21 3.10 Design-Ontologien S. 23 3.11 Schwierigkeiten bei der Ontologiekonstruktion S. 28 3.12 Einpflegen der Daten mit Protégé S. 29 3.13 Facetten S. 29 3.14 Filter S. 32 4 DATENVISUALISIERUNG S. 35 4.1 Visualisierung zeitlicher Daten S. 35 4.2 Hyperhistory S. 35 4.3 Graphisches Vokabular - graphische Dimensionen S. 37 4.4 Mapping S. 39 5 FRAMEWORK UND GESTALTUNG DES MEDIUMS S. 43 5.1 Technologien und Werkzeuge S. 44 5.2 Architektur S. 46 5.3 Konfiguration S. 51 5.4 DataBackendManager S. 52 5.5 Mapping im Framework S. 53 5.6 atomicelements S. 54 5.7 Appearance Bibliothek S. 55 5.8 TransformationUtils S. 56 5.9 Structures S. 57 5.10 LOD S. 64 5.11 Häufung von Einträgen [+] S. 66 5.12 Darstellung von Relationen [+] S. 69 5.13 Head Up Display [+] S. 71 5.14 Navigation S. 72 5.15 Performanz S. 73 5.16 Gestaltung des Mediums S. 74 6 AUSBLICK S. 80 7 FAZIT S. 81 8 ANHANG A – Installation S. 82 8.1 Vorraussetzungen S. 82 8.2 Programmaufruf S. 82 8.3 Stereoskopie S. 82 9 ANHANG B – Beispielimplementierung zur Visualisierung des Themas „Geschichte des Designs in Deutschland im 19. und 20. Jh.“ S. 84 9.1 Eingrenzung des Umfangs S. 84 9.2 Überblick zur deutschen Designgeschichte S. 84 9.3 Vorgehen S. 85 9.4 Unscharfe Datumsangaben S. 85 9.5 Kontextereignisse S. 85 9.6 Ursache-Wirkung-Beziehungen S. 86 9.7 Mehrsprachigkeit S. 86 9.8 Quellenangaben S. 86 9.9 Bildmaterial S. 87 LITERATURVERZEICHNIS S. 88 GLOSSAR S. 90 ABBILDUNGSVERZEICHNIS S. 91
Große, stark vernetzte Datenmengen, wie sie in Wissensbasen oder Softwaremodellen vorkommen, sind von Menschen oft nur langsam und mühsam zu lesen, wenn sie als Tabellen oder Text dargestellt werden. Graphische Darstellungen können Menschen helfen, Tatsachen intuitiver zu verstehen und bieten einen schnellen Überblick. Die elektronische Darstellung bietet Mittel, welche über die Möglichkeiten von Print hinausgehen, wie z.B. unbegrenzten Zoom und Hyperlinks. Diese Arbeit stellt ein Framework für die Visualisierung vernetzter Informationen im 3D-Raum vor, welches Techniken der Gestaltung zur Erstellung von graphischen Strukturen und zur Abbildung von Informationen auf graphische Eigenschaften berücksichtigt.:1 EINFÜHRUNG S. 9 1.1 Zusammenfassung des Gestaltungsentwurfs S. 9 1.2 Ziel des Belegs S. 10 1.3 Interdisziplinäres Projekt S. 10 2 VORGEHEN S. 12 2.1 Ablauf S. 12 2.2 Konkrete Beispielinhalte S. 13 2.3 Beispielimplementierung S. 13 3 DATENMODELL S. 15 3.1 Ontologien S. 15 3.2 Ontologie Konstruktion S. 15 3.3 Analyse der Domain Design S. 18 3.8 Erstes Ordnen S. 19 3.9 Verwendete Ontologie-Struktur S. 21 3.10 Design-Ontologien S. 23 3.11 Schwierigkeiten bei der Ontologiekonstruktion S. 28 3.12 Einpflegen der Daten mit Protégé S. 29 3.13 Facetten S. 29 3.14 Filter S. 32 4 DATENVISUALISIERUNG S. 35 4.1 Visualisierung zeitlicher Daten S. 35 4.2 Hyperhistory S. 35 4.3 Graphisches Vokabular - graphische Dimensionen S. 37 4.4 Mapping S. 39 5 FRAMEWORK UND GESTALTUNG DES MEDIUMS S. 43 5.1 Technologien und Werkzeuge S. 44 5.2 Architektur S. 46 5.3 Konfiguration S. 51 5.4 DataBackendManager S. 52 5.5 Mapping im Framework S. 53 5.6 atomicelements S. 54 5.7 Appearance Bibliothek S. 55 5.8 TransformationUtils S. 56 5.9 Structures S. 57 5.10 LOD S. 64 5.11 Häufung von Einträgen [+] S. 66 5.12 Darstellung von Relationen [+] S. 69 5.13 Head Up Display [+] S. 71 5.14 Navigation S. 72 5.15 Performanz S. 73 5.16 Gestaltung des Mediums S. 74 6 AUSBLICK S. 80 7 FAZIT S. 81 8 ANHANG A – Installation S. 82 8.1 Vorraussetzungen S. 82 8.2 Programmaufruf S. 82 8.3 Stereoskopie S. 82 9 ANHANG B – Beispielimplementierung zur Visualisierung des Themas „Geschichte des Designs in Deutschland im 19. und 20. Jh.“ S. 84 9.1 Eingrenzung des Umfangs S. 84 9.2 Überblick zur deutschen Designgeschichte S. 84 9.3 Vorgehen S. 85 9.4 Unscharfe Datumsangaben S. 85 9.5 Kontextereignisse S. 85 9.6 Ursache-Wirkung-Beziehungen S. 86 9.7 Mehrsprachigkeit S. 86 9.8 Quellenangaben S. 86 9.9 Bildmaterial S. 87 LITERATURVERZEICHNIS S. 88 GLOSSAR S. 90 ABBILDUNGSVERZEICHNIS S. 91
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Book chapters on the topic "Timeline visualization"

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van Staden, Wynand. "Timeline Visualization of Keywords." In Advances in Digital Forensics XV, 239–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28752-8_13.

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Stab, Christian, Kawa Nazemi, and Dieter W. Fellner. "SemaTime - Timeline Visualization of Time-Dependent Relations and Semantics." In Advances in Visual Computing, 514–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17277-9_53.

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Oh, Junghoon, Namheun Son, Sangjin Lee, and Kyungho Lee. "A Study for Classification of Web Browser Log and Timeline Visualization." In Information Security Applications, 192–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35416-8_14.

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Blumenstein, Kerstin, Victor Oliveira, Magdalena Boucher, Stefanie Größbacher, Markus Seidl, and Wolfgang Aigner. "Situated Visualization of Historical Timeline Data on Mobile Devices: Design Study for a Museum Application." In Human-Computer Interaction – INTERACT 2021, 536–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85613-7_35.

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Serrano, J. Artur, Andrea Thoms, and Peter Weber. "Patients Initiated Timeline Marking of Events in Parkinson’s Disease: Visualization of Time Correlation between Patients Marked Events and Acquired Data from Sensors." In Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems, 325–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07527-3_31.

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Drossis, Giannis, Dimitris Grammenos, Ilia Adami, and Constantine Stephanidis. "3D Visualization and Multimodal Interaction with Temporal Information Using Timelines." In Human-Computer Interaction – INTERACT 2013, 214–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40477-1_13.

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Schaaf, Jannik, Martin Sedlmayr, Hans-Ulrich Prokosch, Niels Tegtbauer, Dennis Kadioglu, Johanna Schaefer, Martin Boeker, and Holger Storf. "Visualization of Similar Patients in a Clinical Decision Support System for Rare Diseases – A Focus Group Study." In German Medical Data Sciences: Bringing Data to Life. IOS Press, 2021. http://dx.doi.org/10.3233/shti210050.

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The diagnosis of patients with rare diseases is often delayed. A Clinical Decision Support System using similarity analysis of patient-based data may have the potential to support the diagnosis of patients with rare diseases. This qualitative study has the objective to investigate how the result of a patient similarity analysis should be presented to a physician to enable diagnosis support. We conducted a focus group with physicians practicing in rare diseases as well as medical informatics researchers. To prepare the focus group, a literature search was performed to check the current state of research regarding visualization of similar patients. We then created software-mockups for the presentation of these visualization methods for the discussion within the focus group. Two persons took independently field notes for data collection of the focus group. A questionnaire was distributed to the participants to rate the visualization methods. The results show that four visualization methods are promising for the visualization of similar patients: “Patient on demand table”, “Criteria selection”, “Time-Series chart” and “Patient timeline. “Patient on demand table” shows a direct comparison of patient characteristics, whereas “Criteria selection” allows the selection of different patient criteria to get deeper insights into the data. The “Time-Series chart” shows the time course of clinical parameters (e.g. blood pressure) whereas a “Patient timeline” indicates which time events exist for a patient (e.g. several symptoms on different dates). In the future, we will develop a software-prototype of the Clinical Decision Support System to include the visualization methods and evaluate the clinical usage.
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Liakopoulou, Christina, Marjan Mansourvar, Anders Bøglid, Amin Naemi, and Anders Stengaard Sørensen. "Data Vizualization Dashboards in Robotic Rehabilitation." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210164.

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Robotic rehabilitation can offer effective solutions, facilitating physiotherapist work, and helping patients regain their strength. Visualizing results of rehabilitative training could give a better insight into the factors that contribute to progress and measure the exact progress by every session. This paper aims to present a set of prototype dashboards to analyze and visualize data from robotic rehabilitation in order to help the patients measure their exerted force progress throughout the training period. The created visualization dashboards which proved helpful and essential to present achieved measurements, the progress of the patient, and the maximum force in a timeline presentation. The proposed prototypes could give a personalized overview to each patient, fed with the corresponding datasets.
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Osinska, Veslava, Grzegorz Osinski, and Anna Beata Kwiatkowska. "Visualization in Learning." In Big Data, 493–526. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch024.

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Visualization is currently used as a data analysis tool and considered a way of communicating knowledge and ideas in many areas of life such as science, education, medicine, marketing, and advertisement. The chapter contains complex interdisciplinary material and attempts to construct a general framework of visualization roles in learning. The structure of this content is presented on Figure 1 as a kind of mind map. Authors emphasize that visualization mechanisms are designed taking into account analytical and content-related potential, timeliness, online availability, and aesthetics. But classical (tabular) forms still remain dominant in information presentation. A good portion of the discussion is dedicated to the alternative solution – non-linear layout, such as network or fractals. Several visualization maps with specifically designed architecture are demonstrated as important elements of contemporary education. Authors consider the potential and implementation of these tools in e-learning platforms. Parallely, they underline the role of interdisciplinary collaboration in map making processes. Researchers in different fields can apply contemporary trends in visualization including natural shape perception, 3D representation problems, as well as the aspects of neuroaesthetics.
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Osinska, Veslava, Grzegorz Osinski, and Anna Beata Kwiatkowska. "Visualization in Learning." In Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization, 381–414. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8142-2.ch013.

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Visualization is currently used as a data analysis tool and considered a way of communicating knowledge and ideas in many areas of life such as science, education, medicine, marketing, and advertisement. The chapter contains complex interdisciplinary material and attempts to construct a general framework of visualization roles in learning. The structure of this content is presented on Figure 1 as a kind of mind map. Authors emphasize that visualization mechanisms are designed taking into account analytical and content-related potential, timeliness, online availability, and aesthetics. But classical (tabular) forms still remain dominant in information presentation. A good portion of the discussion is dedicated to the alternative solution – non-linear layout, such as network or fractals. Several visualization maps with specifically designed architecture are demonstrated as important elements of contemporary education. Authors consider the potential and implementation of these tools in e-learning platforms. Parallely, they underline the role of interdisciplinary collaboration in map making processes. Researchers in different fields can apply contemporary trends in visualization including natural shape perception, 3D representation problems, as well as the aspects of neuroaesthetics.
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Conference papers on the topic "Timeline visualization"

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Lipka, Richard. "Scalable timeline visualization." In 2016 9th International Conference on Human System Interactions (HSI). IEEE, 2016. http://dx.doi.org/10.1109/hsi.2016.7529624.

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Wang, Zuchao, and Xiaoru Yuan. "Urban trajectory timeline visualization." In 2014 International Conference on Big Data and Smart Computing (BIGCOMP). IEEE, 2014. http://dx.doi.org/10.1109/bigcomp.2014.6741397.

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Nguyen, Phong H., Kai Xu, Rick Walker, and B. L. William Wong. "SchemaLine: Timeline Visualization for Sensemaking." In 2014 18th International Conference on Information Visualisation (IV). IEEE, 2014. http://dx.doi.org/10.1109/iv.2014.14.

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Morawa, Robert, Tom Horak, Ulrike Kister, Annett Mitschick, and Raimund Dachselt. "Combining Timeline and Graph Visualization." In the Ninth ACM International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2669485.2669544.

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Mason, Douglas J. "Timeline visualization of semantic content." In SA'15: SIGGRAPH Asia 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2820926.2820974.

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Yang, Zhihan, Nigel Goddard, Lynda Webb, and Huiwei Chen. "Electrical Appliance Usage Timeline Data Visualization." In e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447555.3466637.

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Xing, Jinjiang, Huanzhou Zhao, Ping Jiang, Hua Zhu, and Xuemei Zou. "A timeline visualization framework for task scheduling." In 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2017. http://dx.doi.org/10.1109/codit.2017.8102757.

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Batrinca, Ligia, Muhammad T. Khan, Dorrit Billman, Basak Aydemir, and Gregorio Convertino. "A timeline visualization for multi-team collaborative planning." In CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2468356.2468385.

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Hoeber, Orland, and Joshua Gorner. "BrowseLine: 2D Timeline Visualization of Web Browsing Histories." In 2009 13th International Conference Information Visualisation, IV. IEEE, 2009. http://dx.doi.org/10.1109/iv.2009.19.

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Imawan, Ardi, and Joonho Kwon. "A timeline visualization system for road traffic big data." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7364125.

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