Academic literature on the topic 'Timeline visualization'
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Journal articles on the topic "Timeline visualization"
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.
Full textNguyen, 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.
Full textBelden, 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.
Full textAoyama, 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.
Full textOno, 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.
Full textElmqvist, 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.
Full textTabinHasan, 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.
Full textKÖKTÜRK, 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.
Full textYASUDA, 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.
Full textRuan, 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.
Full textDissertations / Theses on the topic "Timeline visualization"
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.
Full textSingh, Mahim. "SOFTVIZ, a step forward." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-135703/.
Full textKeywords: Eclipse plug-in; tracer; timeline; software visualization; sunburst; SoftViz; ParaVis; error categorization framework; debugging; program understanding. Includes bibliographical references (p. 85-89).
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.
Full textM.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
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.
Full textGroße, 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
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.
Full text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.
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.
Full textGraduate
0984
Jänicke, Stefan. "Timages: Enhancing Time Graphs with Iconographic Information." 2018. https://ul.qucosa.de/id/qucosa%3A32800.
Full textPolowinski, Jan. "Visualisierung großer Datenmengen im Raum: Großer Beleg." Thesis, 2006. https://tud.qucosa.de/id/qucosa%3A26757.
Full textGroße, 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
Book chapters on the topic "Timeline visualization"
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.
Full textStab, 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.
Full textOh, 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.
Full textBlumenstein, 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.
Full textSerrano, 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.
Full textDrossis, 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.
Full textSchaaf, 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.
Full textLiakopoulou, 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.
Full textOsinska, 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.
Full textOsinska, 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.
Full textConference papers on the topic "Timeline visualization"
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.
Full textWang, 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.
Full textNguyen, 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.
Full textMorawa, 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.
Full textMason, 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.
Full textYang, 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.
Full textXing, 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.
Full textBatrinca, 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.
Full textHoeber, 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.
Full textImawan, 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.
Full text