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Dissertations / Theses on the topic 'Interactive and visual analytics'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Khemiri, Wael. "Data-intensive interactive workflows for visual analytics." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00659227.

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The increasing amounts of electronic data of all forms, produced by humans (e.g. Web pages, structured content such as Wikipedia or the blogosphere etc.) and/or automatic tools (loggers, sensors, Web services, scientific programs or analysis tools etc.) leads to a situation of unprecedented potential for extracting new knowledge, finding new correlations, or simply making sense of the data.Visual analytics aims at combining interactive data visualization with data analysis tasks. Given the explosion in volume and complexity of scientific data, e.g., associated to biological or physical process

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Wenskovitch, Jr John Edward. "Dimension Reduction and Clustering for Interactive Visual Analytics." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/96599.

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When exploring large, high-dimensional datasets, analysts often utilize two techniques for reducing the data to make exploration more tractable. The first technique, dimension reduction, reduces the high-dimensional dataset into a low-dimensional space while preserving high-dimensional structures. The second, clustering, groups similar observations while simultaneously separating dissimilar observations. Existing work presents a number of systems and approaches that utilize these techniques; however, these techniques can cooperate or conflict in unexpected ways. The core contribution of

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Moran, Andrew M. Eng Massachusetts Institute of Technology. "Improving big data visual analytics with interactive virtual reality." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105972.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 80-84).<br>For decades, the growth and volume of digital data collection has made it challenging to digest large volumes of information and extract underlying structure. Coined 'Big Data', massive amounts of information has

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4

Han, Chao. "Bayesian Visual Analytics: Interactive Visualization for High Dimensional Data." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/19210.

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In light of advancements made in data collection techniques over the past two decades, data mining has become common practice to summarize large, high dimensional datasets, in hopes of discovering noteworthy data structures. However, one concern is that most data mining approaches rely upon strict criteria that may mask information in data that analysts may find useful. We propose a new approach called Bayesian Visual Analytics (BaVA) which merges Bayesian Statistics with Visual Analytics to address this concern. The BaVA framework enables experts to interact with the data and the feature disc

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Alsakran, Jamal. "Supporting Interactive Visual Analytics for High Dimensional Data Exploration." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1340683236.

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6

Zhao, Kaiyu. "A Model-driven Visual Analytic Framework for Local Pattern Analysis." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/446.

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The ultimate goal of any visual analytic task is to make sense of the data and gain insights. Unfortunately, the process of discovering useful information is becoming more challenging nowadays due to the growing data scale. Particularly, the human cognitive capabilities remain constant whereas the scale and complexity of data are not. Meanwhile, visual analytics largely relies on human analytic in the loop which imposes challenge to traditional human-driven workflow. It is almost impossible to show every aspect of details to the user while diving into local region of the data to explain phenom

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AL-Dohuki, Shamal Mohammed Ameen. "INTERACTIVE VISUAL QUERYING AND ANALYSIS FOR URBAN TRAJECTORY DATA." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1555411250877166.

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8

Kusoffsky, Madeleine. "Leveraging storytelling in visual analytics by redesigning the user interface." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96724.

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Storytelling is a way of packaging the knowledge and insights gained from analyzing statistical data. The knowledge is transformed into a format that lends itself to be understood by non-experts more easily. The story with links to interactive diagrams. The purpose of this design study was to improve the interaction design of the storytelling feature. The target audience for the new design was intermediate users. Evaluation of the current design by interviewing and observing beginner and intermediate users gave valuable understanding about the users goals related to the storytelling feature. T

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9

Chung, HaeYong. "Designing Display Ecologies for Visual Analysis." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52042.

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The current proliferation of connected displays and mobile devices from smart phones and tablets to wall-sized displays presents a number of exciting opportunities for information visualization and visual analytics. When a user employs heterogeneous displays collaboratively to achieve a goal, they form what is known as a display ecology. The display ecology enables multiple displays to function in concert within a broader technological environment to accomplish tasks and goals. However, since information and tasks are scattered and disconnected among separate displays, one of the inherent chal

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Chen, Xin. "Be the Data: Embodied Visual Analytics." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72287.

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With the rise of big data, it is becoming increasingly important to educate students about data analytics. In particular, students without a strong mathematical background usually have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods, such as dimension reduction. In this thesis, we present an embodied approach for visual analytics designed to teach students exploring alternative 2D projections of high dimensional data points using weighted multidimensional scaling. We proposed a novel application, Be the Data, to

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Endert, Alex. "Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28265.

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User interaction in visual analytic systems is critical to enabling visual data exploration. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. For example, two-dimensional layouts of high-dimensional data can be generated by dimension reduction models, and provide users with an overview of the relationships between information. However, exploring such spatializations can require expertise with the internal mechanisms and parameters of these models. The core contribution

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Blascheck, Tanja [Verfasser], and Thomas [Akademischer Betreuer] Ertl. "Understanding interactive visualizations : leveraging eye movements and visual analytics / Tanja Blascheck ; Betreuer: Thomas Ertl." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2017. http://d-nb.info/1155168623/34.

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Zheng, Jiaqi. "Interactive Visual Analytics for Agent-Based simulation : Street-Crossing Behavior at Signalized Pedestrian Crossing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264991.

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To design a pedestrian crossing area reasonably can be a demanding task for traffic planners. There are several challenges, including determining the appropriate dimensions, and ensuring that pedestrians are exposed to the least risks. Pedestrian safety is especially obscure to analyze, given that many people in Stockholm cross the street illegally by running against the red light. To cope with these challenges, computational approaches of trajectory data visual analytics can be used to support the analytical reasoning process. However, it remains an unexplored field regarding how to visualize

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Ho, Quan. "Architecture and Applications of a Geovisual Analytics Framework." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91679.

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The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge

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Vitiello, Petri. "Use of performance predictors in visual analytics." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12542.

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Visual Analytics is a multi-disciplinary field that uses interactive visualisations to promote and assist the analytic reasoning and generate insights. Understanding the perceptual and cognitive factors is key to the progress in this field. This research focuses on understanding the benefits of interaction in terms of insight generation Moreover, this investigation explores the compounding effects individual differences have with interaction when analysing data to generate insights. This study investigated the individual differences in two sets; psychometric set measures, and a sensorial prefe

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Maiti, Dipayan. "Multiset Model Selection and Averaging, and Interactive Storytelling." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28563.

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The Multiset Sampler [Leman et al., 2009] has previously been deployed and developed for efficient sampling from complex stochastic processes. We extend the sampler and the surrounding theory to model selection problems. In such problems efficient exploration of the model space becomes a challenge since independent and ad-hoc proposals might not be able to jointly propose multiple parameter sets which correctly explain a new pro- posed model. In order to overcome this we propose a multiset on the model space to en- able efficient exploration of multiple model modes with almost no tuning. The M

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Binford, Adam Quarles. "A Bidirectional Pipeline for Semantic Interaction in Visual Analytics." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72981.

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Semantic interaction in visual data analytics allows users to indirectly adjust model parameters by directly manipulating the output of the models. This is accomplished using an underlying bidirectional pipeline that first uses statistical models to visualize the raw data. When a user interacts with the visualization, the interaction is interpreted into updates in the model parameters automatically, giving the users immediate feedback on each interaction. These interpreted interactions eliminate the need for a deep understanding of the underlying statistical models. However, the development of

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Dowling, Michelle Veronica. "Semantic Interaction for Symmetrical Analysis and Automated Foraging of Documents and Terms." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/104682.

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Sensemaking tasks, such as reading many news articles to determine the truthfulness of a given claim, are difficult. These tasks require a series of iterative steps to first forage for relevant information and then synthesize this information into a final hypothesis. To assist with such tasks, visual analytics systems provide interactive visualizations of data to enable faster, more accurate, or more thorough analyses. For example, semantic interaction techniques leverage natural or intuitive interactions, like highlighting text, to automatically update the visualization parameters using machi

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Bradel, Lauren C. "Multi-Model Semantic Interaction for Scalable Text Analytics." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52785.

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Learning from text data often involves a loop of tasks that iterate between foraging for information and synthesizing it in incremental hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and creating spatial schemas. However, spatializing the entirety of datasets becomes prohibitive as the number of documents available to the analysts grows, particularly when only a small subset are relevant to the tasks at hand. To address this issue, we developed the multi-model semantic interaction (MSI) tec

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Kühne, Kay. "Interactive Multiscale Visualization of Large, Multi-dimensional Datasets." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77109.

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This thesis project set out to find and implement a comfortable way to explore vast, multidimensional datasets using interactive multiscale visualizations to combat the ever-growing information overload that the digitized world is generating. Starting at the realization that even for people not working in the fields of information visualization and data science the size of interesting datasets often outgrows the capabilities of standard spreadsheet applications such as Microsoft Excel. This project established requirements for a system to overcome this problem. In this thesis report, we descri

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Köthur, Patrick. "Visual analytics for detection and assessment of process-related patterns in geoscientific spatiotemporal data." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17397.

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Diese Arbeit untersucht, inwiefern Visual Analytics die Analyse von Prozessen in geowissenschaftlichen raum-zeitlichen Daten unterstützen kann. Hierzu wurden drei neuartige Visual Analytics Ansätze entwickelt. Jeder Ansatz addressiert eine wichtige Analyseperspektive. Der erste Ansatz erlaubt es, wichtige räumliche Zustände in den Daten sowie deren auftreten in der Zeit zu untersuchen. Mittels hierarchischem Clustering werden alle in den Daten enthaltenen räumlichen Zustände in einer Clusterhierarchie verortet. Interaktive visuelle Analyse ermöglicht es, verschiedene räumliche Zustände aus den

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Traore, Michael. "Interactive visualization for volumetric datasets." Thesis, Toulouse, ISAE, 2018. http://www.theses.fr/2018ESAE0028.

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L’occlusion est un problème dans la visualisation volumétrique car elle empêche lavisualisation directe d’une région d’intérêt. Alors que la plupart des systèmes existantsutilisent une combinaison de techniques de rendu en volume direct (DVR) et deleur fonction de transfert (TF) correspondante, nous avons envisagé des techniquesd’interaction alternatives pour explorer ces ensembles de données.Tout d’abord, nous avons proposé un nouveau système de visualisation interactivepour les bagages numérisés en 3D, accéléré par les techniques GPGPU, conformémentaux besoins que nous avons extraits de l’en

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Raveneau, Vincent. "Interaction in Progressive Visual Analytics : an application to progressive sequential pattern mining." Thesis, Nantes, 2020. http://www.theses.fr/2020NANT4022.

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Le paradigme de Progressive Visual Analytics (PVA) a été proposé en réponse aux difficultés rencontrées par les Visual Analytics lors du traitement de données massives ou de l’utilisation d’algorithmes longs, par l’usage de résultats intermédiaires et par l’interaction entre humain et algorithmes en cours d’exécution. Nous nous intéressons d’abord à la notion d’“interaction”, mal définie en PVA, dans le but d’établir une vision structurée de ce qu’est l’interaction avec un algorithme en PVA. Nous nous intéressons ensuite à la conception et à l’implémentation d’un système et d’un algorithme pro

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Jusufi, Ilir. "Multivariate Networks : Visualization and Interaction Techniques." Doctoral thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-25497.

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As more and more data is created each day, researchers from different science domains are trying to make sense of it. A lot of this data, for example our connections to friends on different social networking websites, can be modeled as graphs, where the nodes are actors and the edges are relationships between them. Researchers analyze this data to find new forms of communication, to explore different social groups or subgroups, to detect illegal activities or to seek for different communication patterns that could help companies in their marketing campaigns. Another example are huge networks i

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Tsolakidis, Anastasios. "Systèmes d'aide à l'évaluation à base de visualisation interactive de graphes. Applications à l'évaluation des systèmes et des institutions éducatives." Limoges, 2014. http://aurore.unilim.fr/theses/nxfile/default/bad92380-d634-463d-bd97-6b27292c8e2e/blobholder:0/2014LIMO4011.pdf.

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L’objectif de la thèse est d’améliorer les systèmes d’évaluation en utilisant des techniques d’analyse visuelle, des méthodes d’Extraction de Connaissances basés sur des graphiques dynamiques interactifs, analyse de réseaux et d’autres méthodes de représentation visuelle. Donc, nous présentons des visualisations interactives algorithmes afin de fournir des représentations qui aident les analystes à construire des modèles conceptuels précis et instructifs des réseaux de co-auteurs. Sur la base des interfaces visuelles interactives, nous fournissons à l’utilisateur d’extraction de connaissance à

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Hu, Xinran. "On Grouped Observation Level Interaction and a Big Data Monte Carlo Sampling Algorithm." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51224.

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Big Data is transforming the way we live. From medical care to social networks, data is playing a central role in various applications. As the volume and dimensionality of datasets keeps growing, designing effective data analytics algorithms emerges as an important research topic in statistics. In this dissertation, I will summarize our research on two data analytics algorithms: a visual analytics algorithm named Grouped Observation Level Interaction with Multidimensional Scaling and a big data Monte Carlo sampling algorithm named Batched Permutation Sampler. These two algorithms are designed

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Stenliden, Linnéa. "Visual Storytelling Interacting in School : Learning Conditions in the Social Science Classroom." Doctoral thesis, Linköpings universitet, Lärande, Estetik, Naturvetenskap (LEN), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106885.

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The aim of this compilation thesis is to understand how technology for visual storytelling can be shaped and used in relation to social science education in primary school, but also how social dimensions, technical and other matters create emerging learning conditions in such an educational setting. The visual storytelling technology introduced and used in the study is ‘the Statistics eXplorer platform, a geovisual analytics. The choice of theoretical perspectives to inform and guide the study is a socio-cultural view of human action, but also actor network theory is used to take account also

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Triperina, Evangelia. "Visual interactive knowledge management for multicriteria decision making and ranking in linked open data environments." Thesis, Limoges, 2020. http://www.theses.fr/2020LIMO0010.

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Le doctorat impliqués la recherche dans le domaine des représentations visuelles assistées par des technologies sémantiques et des ontologies afin de soutenir les décisions et les procédures d'élaboration des politiques, dans le cadre de la recherche et des systèmes d'information académique. Les visualisations seront également prises en charge par l'exploration de données et les processus d'extraction de connaissances dans l'environnement de données liées. Pour élaborer, les techniques d'analyse visuelle seront utilisées pour l'organisation des visualisations afin de présenter l'information de

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Ren, Haolin. "Visualizing media with interactive multiplex networks." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0036/document.

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Les flux d’information suivent aujourd’hui des chemins complexes: la propagation des informations, impliquant éditeurs on-line, chaînes d’information en continu et réseaux sociaux, emprunte alors des chemins croisés, susceptibles d’agir sur le contenu et sa perception. Ce projet de thèse étudie l’adaptation des mesures de graphes classiques aux graphes multiplexes en relation avec le domaine étudié, propose de construire des visualisations à partir de plusieurs représentations graphiques des réseaux, et de les combiner (visualisations multi-vues synchronisées, représentations hybrides, etc.).

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Self, Jessica Zeitz. "Designing and Evaluating Object-Level Interaction to Support Human-Model Communication in Data Analysis." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70950.

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High-dimensional data appear in all domains and it is challenging to explore. As the number of dimensions in datasets increases, the harder it becomes to discover patterns and develop insights. Data analysis and exploration is an important skill given the amount of data collection in every field of work. However, learning this skill without an understanding of high-dimensional data is challenging. Users naturally tend to characterize data in simplistic one-dimensional terms using metrics such as mean, median, mode. Real-world data is more complex. To gain the most insight from data, users nee

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Silva, Isabel Cristina Siqueira da. "Visualization of intensional and extensional levels of ontologies." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/96976.

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Técnicas de visualização de informaçoes têm sido usadas para a representação de ontologias visando permitir a compreensão de conceitos e propriedades em domínios específicos. A visualização de ontologias deve ser baseada em representaccões gráficas efetivas e téquinas de interação que auxiliem tarefas de usuários relacionadas a diferentes entidades e aspectos. Ontologias podem ser complexas devido tanto à grande quantidade de níveis da hierarquia de classes como também aos diferentes atributos. Neste trabalho, propo˜e-se uma abordagem baseada no uso de múltiplas e coordenadas visualizações par

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Della, Silva Clark D. "TactiForm : a touch sensitive actuated shape display as a dynamic interactive user interface for geospatial visual analytic systems." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100304.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 57-58).<br>Visual analytic systems that use real-time interactive interfaces enable effective problem solving and decision making by supporting intuitive data modelling, visualization, and analysis. In the oil and gas indust

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Ens, Barrett. "Spatial Analytic Interfaces." ACM, 2014. http://hdl.handle.net/1993/31595.

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We propose the concept of spatial analytic interfaces (SAIs) as a tool for performing in-situ, everyday analytic tasks. Mobile computing is now ubiquitous and provides access to information at nearly any time or place. However, current mobile interfaces do not easily enable the type of sophisticated analytic tasks that are now well-supported by desktop computers. Conversely, desktop computers, with large available screen space to view multiple data visualizations, are not always available at the ideal time and place for a particular task. Spatial user interfaces, leveraging state-of-the-art mi

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Musleh, Maath. "Visual Analysis of Industrial Multivariate Time-Series Data : Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105253.

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Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. This project aims to process, cluster and visualise sensory data of a blow moulding machine in a plastic production factory. In collaboration with Lean Automation, we aim to develop a data visualisation solution to enable decision-makers in a plastic factory to improve their production process. We will investigate three different aspects of the solution:

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Rayar, Frédéric. "Exploration interactive, incrémentale et multi-niveau de larges collections d'images." Thesis, Tours, 2016. http://www.theses.fr/2016TOUR4012/document.

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Les travaux de recherche présentés et discutés dans cette thèse s’intéressent aux grandes collections d’images numériques. Plus particulièrement, nous cherchons à donner à un utilisateur la possibilité d’explorer ces collections d’images, soit dans le but d’en extraire de l’information et de la connaissance, soit de permettre une certaine sérendipité dans l’exploration. Ainsi, cette problématique est abordée du point de vue de l’analyse et l’exploration interactive des données. Nous tirons profit du paradigme de navigation par similarité et visons à respecter simultanément les trois contrainte

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García, Sara. "Visualization of Learning Paths as Networks of Topics." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100683.

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Nowadays, interactive visualizations have been one of the most used tools in Big Data fields for the purpose of searching for relationships and structured information in large datasets of unstructured information. In this project, these tools are applied to extract structured information from students following Self-Regulated Learning (SRL). By means of an interactive graph, we are able to study the paths that the students follow in the learning materials. Our visualization supports the investigation of patterns of behaviour of the students, which later could be used, for example, to adapt the

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Ait, Wakrime Abderrahim. "Une approche par composants pour l'analyse visuelle interactive de résultats issus de simulations numériques." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2060/document.

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Les architectures par composants sont de plus en plus étudiées et utilisées pour le développement efficace des applications en génie logiciel. Elles offrent, d’un côté, une architecture claire aux développeurs, et de l’autre, une séparation des différentes parties fonctionnelles et en particulier dans les applications de visualisation scientifique interactives. La modélisation de ces applications doit permettre la description des comportements de chaque composant et les actions globales du système. De plus, les interactions entre composants s’expriment par des schémas de communication qui peuv

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Detton, Alan James. "The Creation of a 3D Interactive Human Neural Development Resource and Its Evaluation Through a Video Analytic Usability Study." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337966847.

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Osmond, Michelle Anne. "Investigating Portlet Technology for Interactive Analytics." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498153.

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Heulot, Nicolas. "Etude des projections de données comme support interactif de l’analyse visuelle de la structure de données de grande dimension." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112127.

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Acquérir et traiter des données est de moins en moins coûteux, à la fois en matériel et en temps, mais encore faut-il pouvoir les analyser et les interpréter malgré leur complexité. La dimensionnalité est un des aspects de cette complexité intrinsèque. Pour aider à interpréter et à appréhender ces données le recours à la visualisation est indispensable au cours du processus d’analyse. La projection représente les données sous forme d’un nuage de points 2D, indépendamment du nombre de dimensions. Cependant cette technique de visualisation souffre de distorsions dues à la réduction de dimension,

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Nguyen, Quyen Do. "Anomaly handling in visual analytics." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-122307-132119/.

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Nguyen, Quyen Do. "Anomaly Handling in Visual Analytics." Digital WPI, 2007. https://digitalcommons.wpi.edu/etd-theses/1144.

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"Visual analytics is an emerging field which uses visual techniques to interact with users in the analytical reasoning process. Users can choose the most appropriate representation that conveys the important content of their data by acting upon different visual displays. The data itself has many features of interest, including clusters, trends (commonalities) and anomalies. Most visualization techniques currently focus on the discovery of trends and other relations, where uncommon phenomena are treated as outliers and are either removed from the datasets or de-emphasized on the visual displays

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Riveiro, María José. "Visual analytics for maritime anomaly detection." Doctoral thesis, Örebro universitet, Akademin för naturvetenskap och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-12783.

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The surveillance of large sea areas typically involves the analysis of huge quantities of heterogeneous data. In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. While it is worth acknowledging that existing mining applications support the identification of anomalies, autonomous anomaly detection systems are rarely used for maritime surveillance. Anomaly detection is normally a complex task that can hardly be solved by using purely visual or purel

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Prince, Md Enamul Hoque. "Visual text analytics for online conversations." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61772.

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With the proliferation of Web-based social media, asynchronous conversations have become very common for supporting online communication and collaboration. Yet the increasing volume and complexity of conversational data often make it very difficult to get insights about the discussions. This dissertation posits that by integrating natural language processing and information visualization techniques in a synergistic way, we can better support the user's task of exploring and analyzing conversations. Unlike most previous systems, which do not consider the specific characteristics of online conv

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Júnior, Alcebíades Dal Col. "Visual analytics via graph signal processing." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22102018-112358/.

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The classical wavelet transform has been widely used in image and signal processing, where a signal is decomposed into a combination of basis signals. By analyzing the individual contribution of the basis signals, one can infer properties of the original signal. This dissertation presents an overview of the extension of the classical signal processing theory to graph domains. Specifically, we review the graph Fourier transform and graph wavelet transforms both of which based on the spectral graph theory, and explore their properties through illustrative examples. The main features of the spect

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Di, Silvestro Lorenzo Paolo. "Data Mining and Visual Analytics Techniques." Doctoral thesis, Università di Catania, 2014. http://hdl.handle.net/10761/1559.

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With the beginning of the Information Age and the following spread of the information overload phenomenon, it has been mandatory to develop a means to simply explore, analyze and summarize large quantity of data. To achieve this purposes a data mining techniques and information visualization methods are used since decades. In the last years a new research field is gaining importance: Visual Analytics, an outgrowth of the fields of scientific and information visualization but includes technologies from many other fields, including knowledge management, statistical analysis, cognitive science an

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Smith, Samuel. "Visual analytics for transcriptional regulatory networks." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132684/1/Samuel_Smith_Thesis.pdf.

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This thesis is an exploration of the visualisation of large data sets in the transcriptional regulatory space. Advances in technology have resulted in large volumes of bioinformatics data, including those relating to interactions between regulatory proteins and target genes. Visualisation is an important step in the scientific workflow, allowing researchers to gain insights and communicate their findings to wider audiences. This study examined the effect of display size, visual encodings and network representations in the context of transcriptional regulation, using a series of user studies to

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Nguyen, Phong Hai. "Statistical flow data applied to visual analytics." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70978.

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Statistical flow data such as commuting, migration, trade and money flows has gained manyinterests from policy makers, city planners, researchers and ordinary citizens as well. Therehave appeared numerous statistical data visualisations; however, there is a shortage of applicationsfor visualising flow data. Moreover, among these rare applications, some are standaloneand only for expert usages, some do not support interactive functionalities, and somecan only provide an overview of data. Therefore, in this thesis, I develop a web-enabled,highly interactive and analysis support statistical flow

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Eaglin, Todd. "Scalable, situationally aware visual analytics and applications." Thesis, The University of North Carolina at Charlotte, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10270103.

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<p>There is a need to understand large and complex datasets to provide better situa- tional awareness in-order to make timely well-informed actionable decisions in critical environments. These types of environments include emergency evacuations for large buildings, indoor routing for buildings in emergency situations, large-scale critical infrastructure for disaster planning and first responders, LiDAR analysis for coastal planning in disaster situations, and social media data for health related analysis. I introduce novel work and applications in real-time interactive visual analytics in thes

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Sabir, Kenneth Spencer. "Visual Analytics Of 3D Macro Molecular Structure." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18860.

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Currently, molecular biology research is dominated by the rapid advances in DNA sequencing and related technologies. However, interpreting these data, and gaining insight into underlying molecular processes, remains challenging. Of the many strategies being pursued in this effort to understand the biomolecular machinery of life, one of the most enduring involves considering three-dimensional structure. Increasingly, experimental data is providing information on this 3D structure and dynamics of chromosomes in living cells –– these data, in turn, promise new insight into fundamental genomic pro

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