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Yaddanapudi, Suryanarayana. "High-risk Patient Identification: Patient Similarity, Missing Data Analysis, and Pattern Visualization." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731557.
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Ayyagari, Pavani. "A visualization framework for patient data and its environment." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4256.
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Macedo, Marcio Cerqueira de Farias. "A Markerless Augmented Reality Environment for On-Patient Medical Data Visualization." Instituto de Matemática. Departamento de ciência da Computação, 2014. http://repositorio.ufba.br/ri/handle/ri/19283.
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Visualiza c~ao de dados m edicos no paciente e desej avel em muitas situa cões, como planejamento cir urgico e treinamento m edico. Atualmente, esta visualiza c~ao e possí vel com o uso da realidade aumentada, uma tecnologia que habilita a visualiza c~ao da anatomia virtual do paciente na localiza c~ao da anatomia real em um display convencional. Nesta disserta c~ao, e apresentado um ambiente de realidade aumentada sem marcadores para visualiza c~ao de dados m edicos no paciente com suporte ao fotorrealismo, a m etodos so sticados para composi ção de dados reais e virtuais e a caracter ísticas adicionais como oclusão. A partir de uma avalia ção do ambiente proposto, os resultados obtidos mostram que o ambiente executa em tempo real e provê boa qualidade visual da cena aumentada.
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Eurenius, Kerstin. "Från information till interaktion : En studie om hur en visualiserad digital patientjournal kan påverka patientkonsultationen." Thesis, Umeå universitet, Institutionen för informatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105021.
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Swedish healthcare are in need of radical changes to meet the requirements from both the government and the patients to create organisational working methods that better support the patients through their healthcare processes. Digitalization of patient data has been going on for decades in order to increase participation and understanding among patients in their care processes. However, availability of information does not ensure understanding. Therefore, resources should be devoted to create conditions to enable participation. The purpose of this study is to explore how visualization of patient data in the patient’s journal can affect the consultation in the encounter between the doctor and the patient. Qualitative interviews were conducted with both patients and doctors. The study suggests that a visualized digital journal could represent a educational tool and contribute to a greater understanding between the patient and the doctor, required that it’s features correspond rather comlex visualization. According to this study, greater understanding in the patient would reasonably generate more and different questions than today, which would not necessarily improve the efficiency in the konsultation. According to the study, greater understanding in the patient would reasonably generate more and different questions than today, which would not necessarily improve the efficiency in the konsultation. Furthermore, a visualized patient's journal may influence the salutogenic effect in the care process why demands regarding the way the resource should be used has to be established.
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Jaffré, Marc-Olivier. "Connaissance et optimisation de la prise en charge des patients : la science des réseaux appliquée aux parcours de soins." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2445/document.
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En France, la nécessaire rationalisation des moyens alloués aux hôpitaux a abouti à une concentration des ressources et une augmentation de la complexité des plateaux techniques. Leur pilotage et leur répartition territoriale s’avèrent d’autant plus difficile, soulevant ainsi la problématique de l’optimisation des systèmes de soins. L’utilisation des données massives produites pas ces systèmes pourrait constituer une nouvelle approche en matière d’analyse et d’aide à la décision. Méthode : A partir d’une réflexion sur la notion de performance, différentes approches d’optimisation préexistantes sont d’abord mis en évidence. Le bloc opératoire a été choisi en tant que terrain expérimental. Suit une analyse sur une fusion d’établissements en tant qu’exemple d’une approche d’optimisation par massification.Ces deux étapes permettent de défendre une approche alternative qui associe l’usage de données massives, la science des réseaux et la visualisation des données sous forme cartographique. Deux sets de séjours en chirurgie orthopédique sur la région ex-Midi-Pyrénées sont utilisés. L’enchainement des séjours de soins est considéré en tant en réseau de données. L’ensemble est projeté dans un environnement visuel développé en JavaScript et permettant une fouille dynamique du graphe. Résultats : La possibilité de visualiser des parcours de santé sous forme de graphes NŒUDS-LIENS est démontrée. Les graphes apportent une perception supplémentaire sur les enchainements de séjours et les redondances des parcours. Le caractère dynamique des graphes permet en outre leur fouille. L’approche visuelle subjective est complétée par une série de mesures objectives issues de la science des réseaux. Les plateaux techniques de soins produisent des données massives utiles à leur analyse et potentiellement à leur optimisation. La visualisation graphique de ces données associées à un cadre d’analyse tel que la science des réseaux donne des premiers indicateurs positifs avec notamment la mise en évidence de motifs redondants. La poursuite d’expérimentations à plus large échelle est requise pour valider, renforcer et diffuser ces observations et cette méthodeIn France, the streamlining of means assigned hospitals result in concentration of resources ana growing complexily of heallhcare facilities. Piloting and planning (them turn out to be all the more difficult, thus leading of optimjzation problems. The use of massive data produced by these systems in association with network science an alternative approach for analyzing and improving decision-making support jn healthcare. Method : Various preexisting optimisation are first highblighted based on observations in operating theaters chosen as experirnentai sites. An analysis of merger of two hospitlas also follows as an example of an optimization method by massification. These two steps make it possible to defend an alternative approach that combines the use of big data science of networks data visualization techniques. Two sets of patient data in orthopedic surgery in the ex-Midi-Pyrénées region in France are used to create a network of all sequences of care. The whole is displayed in a visual environment developed in JavaScript allowing a dynamic mining of the graph. Results: Visualizing healthcare sequences in the form of nodes and links graphs has been sel out. The graphs provide an additional perception of' the redundancies of he healthcare pathways. The dynamic character of the graphs also allows their direct rnining. The initial visual approach is supplernented by a series of objcctive measures from the science of networks. Conciusion: Healthcare facilities produce massive data valuable for their analysis and optimization. Data visualizalion together with a framework such as network science gives prelimiaary encouraging indicators uncovering redondant healthcare pathway patterns. Furthev experimentations with various and larger sets of data is required to validate and strengthen these observations and methods
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Liu, Jiayi. "Visualization of Weather Data : Temperature trend visualization." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-20969.
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Weather data are huge. Traditional visualization techniques are limited to show temperature trends. Pixel-based approaches could be used to visualize the huge amount of weather data and in process show the temperature trends. A prototype using this approach is built to make temperature data more understandable in changing trends. It is implemented using a 2D representation and many popular interaction techniques. It is a lightweight and reusable tool to visualize temperatures.
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Virinchi, Billa. "Data Visualization of Telenor mobility data." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13951.
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Nowadays with the rapid development of cities, understanding the human mobility patterns of subscribers is crucial for urban planning and for network infrastructure deployment. Today mobile phones are electronic devices used for analyzing the mobility patterns of the subscribers in the network, because humans in their daily activities they carry mobile phones for communication purpose. For effective utilization of network infrastructure (NI) there is a need to study on mobility patterns of subscribers. The aim of the thesis is to simulate the geospatial Telenor mobility data (i.e. three different subscriber categorized segments) and provide a visual support in google maps using google maps API, which helps in decision making to the telecommunication operators for effective utilization of network infrastructure (NI). In this thesis there are two major objectives. Firstly, categorize the given geospatial telenor mobility data using subscriber mobility algorithm. Secondly, providing a visual support for the obtained categorized geospatial telenor mobility data in google maps using a geovisualization simulation tool. The algorithm used to categorize the given geospatial telenor mobility data is subscriber mobility algorithm. Where this subscriber mobility algorithm categorizes the subscribers into three different segments (i.e. infrastructure stressing, medium, friendly). For validation and confirmation purpose of subscriber mobility algorithm a tetris optimization model is used. To give visual support for each categorized segments a simulation tool is developed and it displays the visualization results in google maps using Google Maps API. The result of this thesis are presented to the above formulated objectives. By using subscriber mobility algorithm and tetris optimization model to a geospatial data set of 33,045 subscribers only 1400 subscribers are found as infrastructure stressing subscribers. To look informative, a small region (i.e. boras region) is taken to visualize the subscribers from each of the categorized segments (i.e. infrastructure stressing, medium, friendly). The conclusion of the thesis is that the functionality thus developed contributes to knowledge discovery from geospatial data and provides visual support for decision making to telecommunication operators. Nowadays with the rapid development of cities, understanding the human mobility patterns of subscribers is crucial for urban planning and for network infrastructure deployment. Today mobile phones are electronic devices used for analyzing the mobility patterns of the subscribers in the network, because humans in their daily activities they carry mobile phones for communication purpose. For effective utilization of network infrastructure (NI) there is a need to study on mobility patterns of subscribers. The aim of the thesis is to simulate the geospatial Telenor mobility data (i.e. three different subscriber categorized segments) and provide a visual support in google maps using google maps API, which helps in decision making to the telecommunication operators for effective utilization of network infrastructure (NI). In this thesis there are two major objectives. Firstly, categorize the given geospatial telenor mobility data using subscriber mobility algorithm. Secondly, providing a visual support for the obtained categorized geospatial telenor mobility data in google maps using a geovisualization simulation tool. The algorithm used to categorize the given geospatial telenor mobility data is subscriber mobility algorithm. Where this subscriber mobility algorithm categorizes the subscribers into three different segments (i.e. infrastructure stressing, medium, friendly). For validation and confirmation purpose of subscriber mobility algorithm a tetris optimization model is used. To give visual support for each categorized segments a simulation tool is developed and it displays the visualization results in google maps using Google Maps API. The result of this thesis are presented to the above formulated objectives. By using subscriber mobility algorithm and tetris optimization model to a geospatial data set of 33,045 subscribers only 1400 subscribers are found as infrastructure stressing subscribers. To look informative, a small region (i.e. boras region) is taken to visualize the subscribers from each of the categorized segments (i.e. infrastructure stressing, medium, friendly). The conclusion of the thesis is that the functionality thus developed contributes to knowledge discovery from geospatial data and provides visual support for decision making to telecommunication operators.
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Yi, Xin. "Data visualization in conceptual design: developing a prototype for complex data visualization." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15192.
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In today's highly competitive industries, engineers are driven to not only design a better product to fulfill users' needs but also demanded to develop a product in a short time to occupy the market. With the development of data collection and visualization technology, the application of data visualization into product development to enhance the ability of better product design is a significant trend. Data visualization becomes more and more important since it could illustrate the valuable information, such as tacit needs and patterns which hidden from data, in a communicated way to help engineers get more inspiration for the conceptual design. It is not hard to collect data; however, the challenge is to visualize the valuable information from a large number of data concisely and intuitively. In recent years, there are some visualization techniques available for product design, while, most of them are implemented in the later stage of product development, few methods are applicable for conceptual design. Therefore, this thesis is carried out to explore appropriate visualization techniques to provide support for conceptual design. The aim of this thesis is, in an engineering environment, to investigate ways to visualize complex data legibly and intuitively to enhance engineers’ ability for conceptual design from better understanding the current machine. In order to achieve the objective, a conceptual design case of the improvement of wheel loader fuel consumption is applied, which consisted of plenty of data sets within various parameters, to explore how to reveal the hidden information of complex data for engineers. As the result of this thesis, a prototype contains a series of visualization techniques is proposed to demonstrate data information from a wheel loader under several visualization situations. The final prototype has the functions of visualizing different operations separately; visualizing the overall fuel consumption in one operation; cluster's patterns visualization; visualizing the impact of one variable on the whole value.
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Tam, Chi Man. "Visualization of meteorological data." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1807116.
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GarciÌa-Osorio, CeÌsar. "Data mining and visualization." Thesis, University of Exeter, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414266.
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Nadeau, Christina K. "Optimization with data visualization." Abstract only, Acrobat Reader required: Full text, Acrobat Reader required:, 1997. http://viva.lib.virginia.edu/etd/theses/nadeau97.pdf.
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Ulhagen, Victor. "Data visualization on Android." Thesis, Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-7627.
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The project discussed in this thesis was initiated by the Swedish IT company Ninetech in an effort to simplify maintenance of the company's server farm. The proposed method of simplifying maintenance was to create an Android application capable of visualizing key elements of the server farm. Since the internal information that the application should expose is of a classied nature, the whole system needs to be secured to prevent unauthorized access. This thesis describes the development of an Android application as well as a server application handling the communication between the Android application and the server farm information service.Data visualization on Android
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Li, Liangchun. "Web-based data visualization for data mining." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ35845.pdf.
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Chang, Jiae. "A PERCEPTUAL VISUALIZATION ASSISTANT FOR MULTI-DIMENSIONAL DATA VISUALIZATION." NCSU, 2001. http://www.lib.ncsu.edu/etd/public/etd-32441612810132541/etd.pdf.
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Hallman, Isabelle. "Preprocessing unbounded data for use in real time visualization : Building a visualization data cube of unbounded data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260349.
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This thesis evaluates the viability of a data cube as a basis for visualization of unbounded data. A cube designed for use with visualization of static data was adapted to allow for point-by-point insertions. The new cube was evaluated by measuring the time it took to insert different numbers of data points. The results indicate that the cube can keep up with data streams with a velocity of up to approximately 100 000 data points per second. The conclusion is that the cube is useful if the velocity of the data stream is within this bound, and if the granularity of the represented dimensions is sufficiently low.Det här exjobbet utvärderar dugligheten av en datakub som bas för visualisering av obegränsad data. En kub designad för användning till visualisering av statisk data anpassades till att medge insättning punkt för punkt. Den nya kuben evaluerades genom att mäta tiden det tog att sätta in olika antal datapunkter. Resultaten indikerade att kuben kan hantera dataströmmar med en hastighet på upp till 100 000 punkter per sekund. Slutsatsen är att kuben är användbar om hastigheten av dataströmmen är inom denna gräns, och om grovheten av de representerade dimensionerna är tillräckligt hög.
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Udd, Krister. "Advanced Building Energy Data Visualization." Thesis, Högskolan Dalarna, Grafisk teknik, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3540.
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Advanced Building Energy Data Visualization is a way to detect performance problems in commercialbuildings. By placing sensors in a building that collects data from example, air temperature and electricalpower, then makes it possible to calculate the data in Data Visualization software. This softwaregenerates visual diagrams so the building manager or building operator can see if for example thepower consumption is to high.A first step (before sensors are installed in a building) to see how the energy consumption is in abuilding can be to use a Benchmarking Tool. There is a number of Benchmarking Tools that is availablefor free on the Internet. Each tool have a bit different approach, but they all show how much energyconsumption there is in a building compared to other similar buildings.In this study a new web design for the benchmarking tool CalARCH has been developed. CalARCHis developed at the Berkeley Lab in Berkeley, California, USA. CalARCH uses data collected only frombuildings in California, and is only for comparing buildings in California with other similar buildingsin the state.Five different versions of the web site were made. Then a web survey was done to determine whichversion would be the best for CalARCH. The results showed that Version 5 and Version 3 was the best.Then a new version was made, based on these two versions. This study was made at the LawrenceBerkeley Laboratory.
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Chiu, Chao-Ying. "Visualization of construction management data." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37903.
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To date, the research and development effort as reported in the literature for presenting input/output data in support of human judgment for conducting construction management (CM) functions and associated tasks has been relatively limited. In practice, CM practitioners often find it difficult to digest and interpret input/output information because of the sheer volume and high dimensionality of data. One way to address this need is to improve the data reporting capability of a construction management information system, which traditionally focuses mainly on using tabular/textual reports. Data visualization is a promising technology to enhance current reporting by creating a CM data visualization environment integrated within a CM information system.
Findings from a literature review combined with a deep understanding of the CM domain were used to identify design guidelines for CM data visualization. A top-down design approach was utilized to analyze general requirements of a CM data visualization environment (e.g. common visualization features) that effect visual CM analytics for a broad range of CM functions/tasks. A bottom-up design process integrated with design guidelines and the top-down design process was then employed to implement individual visualizations in support of specific CM analytics and to acquire lessons learned for enriching the design guidelines and common visualization features. Taken together, these three components provide a potent approach for developing a data visualization tool tailored to supporting CM analytics.
A research prototype CM data visualization environment that has an organization of thematic visualizations categorized by construction conditions and performance measures under multiple views of a project was created. Features of images generated from the foregoing visualizations can be characterized by different themes, types, contents, and/or formats. The visualization environment provides interaction features for changing/setting options that characterize images and enhancing readability of images as well as a mechanism for coordinating interaction features to increase efficiency of use. Case studies conducted using this environment provide the means for comparing its use with current (traditional) data reporting for CM functions related to time, quality, and change management. It is demonstrated that visual analytics enhances CM analytics capabilities applicable to a broad range of CM functions/tasks.
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Ling, Kwan Lai. "Visualization of ATM network data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28956.pdf.
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Haroun, Paul. "Genetic algorithm and data visualization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0017/MQ37125.pdf.
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Mathers, Christian. "Data input for scientific visualization." Thesis, University of Hull, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417164.
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Furuhashi, Takeshi. "Data Visualization for Kansei Analysis." 日本知能情報ファジィ学会, 2010. http://hdl.handle.net/2237/20694.
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SCIS & ISIS 2010, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. December 8-12, 2010, Okayama Convention Center, Okayama, Japan
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Hillery, Benjamin A. "Outdoor Scenes for Data Visualization." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3013.
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Recent cognitive research indicates that the human brain possesses special abilities for processing information relating to outdoor scenes. Simulated outdoor scenes are presented as an effective method of displaying higher dimensional data in an efficient and comprehensible manner. We demonstrate novel methods of using outdoor objects and scenes to display multidimensional content in a way that that is intuitive for humans to understand, and to exploit various cues commonly found in scenes from the natural world to communicate the values of multiple variables.
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Georgelis, Anna. "Multiperspective visualization of genealogy data." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150535.
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This thesis presents and discusses the implementation of a web application developed as a Masters degree project at Linköping University. The application is a tool offering a multiperspective visualization of genealogy data, that can be used by genealogists in order to analyze his or her collected family tree data, but also to find what data that may be wrong. Data stored in a GEDCom file is being processed and stored in a database. By using D3.js, the data is then visualized in three different types of representations: an ancestor tree, a sunburst chart and a lifeline representation, all interacting with each other. The work concludes that by using different types of visualizations to present the same data, it is possible to create a genealogy application where new kind of insights about the data can be gained.
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Hu, Kevin Zeng. "Automating data visualization through recommendation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123624.
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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019Cataloged from PDF version of thesis.
Includes bibliographical references (pages 162-180).
Demand for data visualization has exploded in recent years with the increasing availability and use of data across domains. Traditional visualization techniques require users to manually specify visual encodings of data through code or clicks. While manual specification is necessary to create bespoke visualizations, it renders visualization inaccessible to those without technical backgrounds. As a result, visualization recommender systems, which automatically generate results for users to search and select, have gained popularity. Here, I present systems, methods, and data repositories to contextualize and improve visualization recommender systems. The first contribution is DIVE, a publicly available and open source system that combines rule-based recommender systems with manual specification. DIVE integrates state-of-the-art data model inference, visualization, statistical analysis, and storytelling capabilities into a unified workflow.
In a controlled experiment, we show that DIVE significantly improves task performance among a group of 67 professional data scientists. Over 15K users have uploaded 7.5K datasets to DIVE since its release. In response to the limitations of rule-based recommender systems, VizML is a machine learning-based method for visualization recommendation. VizML uses neural networks trained on a large corpus of datasetvisualization pairs to predict visualization design choices, such as visualization type and axis encoding, with an accuracy of over 85%, exceeding that of base rates and baseline models. Benchmarking with a crowdsourced test set, we show that our model achieves human-level performance when predicting consensus visualization type. To support learned visualization systems, VizNet is a large-scale visualization learning and benchmarking repository consisting of over 31M real-world datasets.
To demonstrate VizNet's utility as a platform for conducting crowdsourced experiments with ecologically valid data, we replicate a prior perceptual effectiveness study, and demonstrate how a metric of visualization effectiveness can be learned from experimental results. Our results suggest a promising method for efficiently crowdsourcing the annotations necessary to train and evaluate machine learning-based visualization recommendation at scale. Enabled by the availability of real-world data, Sherlock is a deep learning approach to semantic type detection. We train Sherlock on 686K data columns retrieved from the VizNet corpus by matching 78 semantic types from DBpedia to column headers. We characterize each matched column with 1, 588 features describing the statistical properties, character distributions, word embeddings, and paragraph vectors of column values.
A multi-input neural network achieves a support-weighted F1 score of 0.89, exceeding that of a decision tree baseline, dictionary and regular expression benchmarks, and the consensus of crowdsourced annotations. I conclude by discussing three opportunities for future research. The first describes design considerations for mixed-initiative interactions in AI-infused visualization systems such as DIVE. The second reviews recent work on statistical validity of insights derived from visualization recommenders, which is an especially important consideration with learned systems such as VizML. Lastly, I assess the benefits of learning visualization design from non-experts then present experimental evidence towards measuring the gaps between expert and non-expert judgment.
by Kevin Zeng Hu.
Ph. D.
Ph.D. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
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Cai, Bo. "Scattered Data Visualization Using GPU." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428077896.
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Cheng, Hui. "Data integration and visualization for systems biology data." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77250.
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Systems biology aims to understand cellular behavior in terms of the spatiotemporal interactions among cellular components, such as genes, proteins and metabolites. Comprehensive visualization tools for exploring multivariate data are needed to gain insight into the physiological processes reflected in these molecular profiles. Data fusion methods are required to integratively study high-throughput transcriptomics, metabolomics and proteomics data combined before systems biology can live up to its potential. In this work I explored mathematical and statistical methods and visualization tools to resolve the prominent issues in the nature of systems biology data fusion and to gain insight into these comprehensive data.
In order to choose and apply multivariate methods, it is important to know the distribution of the experimental data. Chi square Q-Q plot and violin plot were applied to all M. truncatula data and V. vinifera data, and found most distributions are right-skewed (Chapter 2). The biplot display provides an effective tool for reducing the dimensionality of the systems biological data and displaying the molecules and time points jointly on the same plot. Biplot of M. truncatula data revealed the overall system behavior, including unidentified compounds of interest and the dynamics of the highly responsive molecules (Chapter 3). The phase spectrum computed from the Fast Fourier transform of the time course data has been found to play more important roles than amplitude in the signal reconstruction. Phase spectrum analyses on in silico data created with two artificial biochemical networks, the Claytor model and the AB2 model proved that phase spectrum is indeed an effective tool in system biological data fusion despite the data heterogeneity (Chapter 4). The difference between data integration and data fusion are further discussed. Biplot analysis of scaled data were applied to integrate transcriptome, metabolome and proteome data from the V. vinifera project. Phase spectrum combined with k-means clustering was used in integrative analyses of transcriptome and metabolome of the M. truncatula yeast elicitation data and of transcriptome, metabolome and proteome of V. vinifera salinity stress data. The phase spectrum analysis was compared with the biplot display as effective tools in data fusion (Chapter 5). The results suggest that phase spectrum may perform better than the biplot.
This work was funded by the National Science Foundation Plant Genome Program, grant DBI-0109732, and by the Virginia Bioinformatics Institute.Ph. D.
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Boyd, Joseph. "BioBridge: Bringing Data Exploration to Biologists." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/1186.
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Since the completion of the Human Genome Project in 2003, biologists have become exceptionally good at producing data. Indeed, biological data has experienced a sustained exponential growth rate, putting effective and thorough analysis beyond the reach of many biologists. This thesis presents BioBridge, an interactive visualization tool developed to bring intuitive data exploration to biologists. BioBridge is designed to work on omics style tabular data in general and thus has broad applicability.
This work describes the design and evaluation of BioBridge's Entity View primary visualization as well the accompanying user interface. The Entity View visualization arranges glyphs representing biological entities (e.g. genes, proteins, metabolites) along with related text mining results to provide biological context. Throughout development the goal has been to maximize accessibility and usability for biologists who are not computationally inclined. Evaluations were done with three informal case studies, one of a metabolome dataset and two of microarray datasets.
BioBridge is a proof of concept that there is an underexploited niche in the data analysis ecosystem for tools that prioritize accessibility and usability. The use case studies, while anecdotal, are very encouraging. These studies indicate that BioBridge is well suited for the task of data exploration. With further development, BioBridge could become more flexible and usable as additional use case datasets are explored and more feedback is gathered.
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Xie, Zaixian. "Exploratory Visualization of Data Pattern Changes in Multivariate Data Streams." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/396.
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More and more researchers are focusing on the management, querying and pattern mining of streaming data. The visualization of streaming data, however, is still a very new topic. Streaming data is very similar to time-series data since each datapoint has a time dimension. Although the latter has been well studied in the area of information visualization, a key characteristic of streaming data, unbounded and large-scale input, is rarely investigated. Moreover, most techniques for visualizing time-series data focus on univariate data and seldom convey multidimensional relationships, which is an important requirement in many application areas. Therefore, it is necessary to develop appropriate techniques for streaming data instead of directly applying time-series visualization techniques to it.
As one of the main contributions of this dissertation, I introduce a user-driven approach for the visual analytics of multivariate data streams based on effective visualizations via a combination of windowing and sampling strategies. To help users identify and track how data patterns change over time, not only the current sliding window content but also abstractions of past data in which users are interested are displayed. Sampling is applied within each single time window to help reduce visual clutter as well as preserve data patterns. Sampling ratios scheduled for different windows reflect the degree of user interest in the content. A degree of interest (DOI) function is used to represent a user's interest in different windows of the data. Users can apply two types of pre-defined DOI functions, namely RC (recent change) and PP (periodic phenomena) functions. The developed tool also allows users to interactively adjust DOI functions, in a manner similar to transfer functions in volume visualization, to enable a trial-and-error exploration process. In order to visually convey the change of multidimensional correlations, four layout strategies were designed. User studies showed that three of these are effective techniques for conveying data pattern changes compared to traditional time-series data visualization techniques. Based on this evaluation, a guide for the selection of appropriate layout strategies was derived, considering the characteristics of the targeted datasets and data analysis tasks. Case studies were used to show the effectiveness of DOI functions and the various visualization techniques.
A second contribution of this dissertation is a data-driven framework to merge and thus condense time windows having small or no changes and distort the time axis. Only significant changes are shown to users. Pattern vectors are introduced as a compact format for representing the discovered data model. Three views, juxtaposed views, pattern vector views, and pattern change views, were developed for conveying data pattern changes. The first shows more details of the data but needs more canvas space; the last two need much less canvas space via conveying only the pattern parameters, but lose many data details. The experiments showed that the proposed merge algorithms preserves more change information than an intuitive pattern-blind averaging. A user study was also conducted to confirm that the proposed techniques can help users find pattern changes more quickly than via a non-distorted time axis.
A third contribution of this dissertation is the history views with related interaction techniques were developed to work under two modes: non-merge and merge. In the former mode, the framework can use natural hierarchical time units or one defined by domain experts to represent timelines. This can help users navigate across long time periods. Grid or virtual calendar views were designed to provide a compact overview for the history data. In addition, MDS pattern starfields, distance maps, and pattern brushes were developed to enable users to quickly investigate the degree of pattern similarity among different time periods. For the merge mode, merge algorithms were applied to selected time windows to generate a merge-based hierarchy. The contiguous time windows having similar patterns are merged first. Users can choose different levels of merging with the tradeoff between more details in the data and less visual clutter in the visualizations. The usability evaluation demonstrated that most participants could understand the concepts of the history views correctly and finished assigned tasks with a high accuracy and relatively fast response time. "
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Cheong, Tat Man. "Money laundering data analysis and visualization." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492978.
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Bengtsson, Christoffer, and Roger Hemström. "Warehouse3D : A graphical data visualization tool." Thesis, Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-6946.
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Automated warehouses are frequently used within the industry. SQL databases are often used for storing various kinds of information about stored items, including their physical positions in the warehouse with respect to X, Y and Z positions. Benefits of this includes savings in working time, optimization of storage capability and – most of all – increased employee safety. IT services company Sogeti’s office in Karlstad has been looking into a project on behalf of one of their customers to implement this kind of automated warehouse. In the pilot study of this project, ideas of a three-dimensional graphic visualization of the warehouse and its stored contents have come up. This kind of tool would give a warehouse operator a clear overview of what is currently in store, as well as quick access to various pieces of information about each and every item in store. Also, in a wider perspective, other types of warehouses and storage areas could benefit from this kind of tool. During the course of this project, a graphical visualization tool for this purpose was developed, resulting in a product that met a significant part of the initial requirements.
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Törnros, Martin, David Berrios, Alexander Bock, Carter Emmart, Robert Harberts, and Anders Ynnerman. "Interactive Visualization of Space Weather Data." Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92856.
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Törnros, Martin. "Interactive visualization of space weather data." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-101986.
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This work serves to present the background, approach, and selected results for the initial master thesis and prototyping phase of Open Space, a joint visualization software development project by National Aeronautics and Space Administration (NASA), Linköping University (LiU) and the American Museum of Natural History (AMNH). The thesis report provides a theoretical introduction to heliophysics, modeling of space weather events, volumetric rendering, and an understanding of how these relate in the bigger scope of Open Space. A set of visualization tools that are currently used at NASA and AMNH are presented and discussed. These tools are used to visualize global heliosphere models, both for scientific studies and for public presentations, and are mainly making use of geometric rendering techniques. The paper will, in detail, describe a new approach to visualize the science models with volumetric rendering to better represent the volumetric structure of the data. Custom processors have been developed for the open source volumetric rendering engine Voreen, to load and visualize science models provided by the Community Coordinated Modeling Center (CCMC) at NASA Goddard Space Flight Center (GSFC). Selected parts of the code are presented by C++ code examples. To best represent models that are defined in non-Cartesian space, a new approach to volumetric rendering is presented and discussed. Compared to the traditional approach of transforming such models to Cartesian space, this new approach performs no such model transformations, and thus minimizes the amount of empty voxels and introduces less interpolation artifacts. Final results are presented as rendered images and are discussed from a scientific visualization perspective, taking into account the physics representation, potential rendering artifacts, and the rendering performance.
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Mondaini, Luca. "Data Visualization di dati spazio-temporali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16853/.
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Questa tesi propone, dopo aver introdotto le tipologie di dato esistenti e i concetti di Big Data, Open Data e Data Visualization, due obiettivi differenti: ottenere informazioni utilizzando le API di Google Maps, più precisamente, latitudine e longitudine di ogni indirizzo di domicilio degli studenti immatricolati in UniBo e la visualizzazione di questi dati, all'interno di un'applicazione web, mediante istogrammi e mappe digitali interattivi con l'utilizzo di tecniche di Data Visualization.
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Schindler, Benjamin. "Visualization of vortices in SPH data." Zurich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, Computer Graphics Laboratory, 2009. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=460.
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Abbiw-Jackson, Roselyn Mansa. "Discrete optimization models in data visualization." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1987.
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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.Thesis research directed by: Applied Mathematics and Scientific Computation. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Ernvik, Aron. "3D visualization of weather radar data." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1053.
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There are 12 weather radars operated jointly by smhi and the Swedish Armed Forces in Sweden. Data from them are used for short term forecasting and analysis. The traditional way of viewing data from the radars is in 2D images, even though 3D polar volumes are delivered from the radars. The purpose of this work is to develop an application for 3D viewing of weather radar data.
There are basically three approaches to visualization of volumetric data, such as radar data: slicing with cross-sectional planes, surface extraction, and volume rendering. The application developed during this project supports variations on all three approaches. Different objects, e.g. horizontal and vertical planes, isosurfaces, or volume rendering objects, can be added to a 3D scene and viewed simultaneously from any angle. Parameters of the objects can be set using a graphical user interface and a few different plots can be generated.
Compared to the traditional 2D products used by meteorologists when analyzing radar data, the 3D scenes add information that makes it easier for the users to understand the given weather situations. Demonstrations and discussions with meteorologists have rendered positive reactions. The application will be installed and evaluated at Arlanda airport in Sweden.
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Osorio, Rodolfo Sebastian Allendes. "Visualization of Uncertainty in Scientific Data." Thesis, University of Leeds, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521442.
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Löfberg, Henrik. "A topological approach to data visualization." Thesis, KTH, Matematik (Avd.), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169569.
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Barcoding is a mathematical tool, to analyze data, which is based on the theory of persistent homology. In this thesis both Hierarchical Clustering and Barcoding are defined and analyzed according to three criterion: Continuity, Computability and Visualizability. It is also presented how the two methods, barcoding and hierarchical clustering, are connected and why barcoding, in some cases, is a generalized method of hierarchical clustering. Lastly some more question of interest, for better understanding barcoding, are stated.Barcoding är ett matematiskt verktyg, för att analysera data, vilket bygger på teorin om ihållande homologi. I den här uppsatsen år både Hierarkisk Klustring och Barcoding definierade och analyserade med avseende på tre kriterier: Kontinuitet, Beräkningsbarhet och Visualiserbarhet. Det presenteras även hur de två metoderna, barcoding och hierarkisk klustring, är sammanlänkade och varför barcoding, i vissa fall, är en generaliserad metod av hierarkisk klustring. Tillsist är några fler frågor av intresse, för att bättre förstå barcoding, presenterad.
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Joish, Sudha. "Data visualization for the benchmarking engine." ScholarWorks@UNO, 2003. http://www.uno.edu/theses/available/etd-04292003-074100/.
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Thesis (M.S.)--University of New Orleans, 2003.Title from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Computer Science"--Thesis t.p. Vita. Includes bibliographical references.
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Yang, Jun. "Swan : a data structure visualization system /." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06112009-063119/.
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Borg, Isak, August Dixelius, and David Östlund. "Interactive Visualization of Solar Energy Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385793.
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Sweden has one of the lowest solar energy productions in Europe even though the weather conditions are comparable to Europe’s largest solar energy producer. Although the majority of the Swedish population is in favour of spending more money on services that can limit climate change, the growth of installed solar cells is slower than that of other countries with similar climate in Europe. To inspire people to install solar panels we created an interactive map with information regarding the solar parks in Uppland, a county in Sweden. Our goal was that this system would help spread awareness of the fact that solar parks work efficiently in Sweden. The program was then installed on a tablet which was put in a public space together with an LED installation to reach as broad of an audience as possible. To draw the passer by’s attention, the LED installation was connected to the map which shows the energy production of the selected solar park in a colour scale.Sverige har en av de lägsta produktionen av solenergi i Europa trots att deras väderförhållanden är jämförbara med Europas största producenter av solenergi. Även fast majoriteten av Sveriges befolkning är villiga att spendera mer pengar på tjänster som kan begränsa klimatförändringar är tillväxten av nya solpaneler långsammare än i andra Europeiska länder med liknande klimat. För att inspirera personer att installara solpaneler har vi skapat en interaktiv karta med information gällande solparker i Uppland. Vårt mål är att programmet skulle öka medvetenheten om solparkers effektivitet i Sverige. Programmet blev sedan installerat på en surfplatta som monterades på en offentlig plats tillsammans med en LED-installation för att nå en så omfattande publik som möjligt. För att dra till sig förbipasserandes uppmärksamhet så kopplades LED-installationen till kartan som visar energiproduktionen hos den valda solparken i en färgskala.
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DeCamp, Philip (Philip James). "Data visualization in the first person." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/79301.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 2013.Cataloged from PDF version of thesis. "February 2013."
Includes bibliographical references (p. 103-107).
This dissertation will examine what a first person viewpoint means in the context of data visualization and how it can be used for navigating and presenting large datasets. Recent years have seen rapid growth in Big Data methodologies throughout scientific research, business analytics, and online services. The datasets used in these areas are not only growing exponentially larger, but also more complex, incorporating heterogeneous data from many sources that might include digital sensors, websites, mass media, and others. The scale and complexity of these datasets pose significant challenges in the design of effective tools for navigation and analysis. This work will explore methods of representing large datasets as physical, navigable environments. Much of the related research on first person interfaces and 3D visualization has focused on producing tools for expert users and scientific analysis. Due to the complexities of navigation and perception introduced by 3D interfaces, work in this area has had mixed results. In particular, considerable efforts to develop 3D systems for more abstract data, like file systems and social networks, have had difficulty surpassing the efficiency of 2D approaches. However, 3D may offer advantages that have been less explored in this context. In particular, data visualization can be a valuable tool for disseminating scientific results, sharing insights, and explaining methodology. In these applications, clear communication of concepts and narratives are often more essential than efficient navigation. This dissertation will present novel visualization systems designed for large datasets that include audio-video recordings, social media, and others. Discussion will focus on designing visuals that use the first person perspective to give a physical and intuitive form to abstract data, to combine multiple sources of data within a shared space, to construct narratives, and to engage the viewer at a more visceral and emotional level.
by Philip DeCamp.
Ph.D.
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Evanco, Kathleen L. (Kathleen Lee). "Customized data visualization using structured video." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/29106.
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Gehlenborg, Nils. "Visualization and exploration of transcriptomics data." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609088.
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Hulter, Oskar. "Improving Software Documentation using Data Visualization." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70862.
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This exploratory case study argues for the thesis that data visualization (dataviz) can have a positive impact on users understanding and perception of code documentation. The basis of the thesis is a case study performed in collaboration with SensiNet AB. The introduction describes the case and the problem area. The theoretical framework and methodology focus on theoretical foundations and how the data collection was planned and performed. The paper concludes with a brief discussion of related work and several suggestions for future studies.
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Beck, John. "Interactive Visualization of Categorical Data Sets." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/theses/950.
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Many people in widely varied fields are exposed to categorical data describing myriad observations. The breadth of applications in which categorical data are used means that many of the people tasked to apply these data have not been trained in data analysis. Visualization of data is often used to alleviate this problem since visualization can convey relevant information in a non-mathematical manner. However, visualizations are frequently static and the tools to create them are largely geared towards quantitative data. It is the purpose of this thesis to demonstrate a method which expands on the parallel coordinates method of visualization and uses a 'Google Maps' style of interaction and view dependent data presentation for visualizing and exploring categorical data that is accessible by non-experts and promotes the use of domain specific knowledge. The parallel coordinates method has enjoyed increasing popularity in recent times, but has several shortcomings. This thesis seeks to address some of these problems in a manner which involves not just addressing the final static image which is generated, but the paradigm of interaction as well.
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Sköld, Anton. "Visualization of Geographic Data in ASP.NET." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166926.
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This paper explores the development and implementation of an in-browser map with the purpose of visualizing large sets of geographic data. The map is implemented into a pre-existing search engine of geographic data. Two mapping frameworks are compared in terms of performance, ease-of-use, and functionality. These frameworks are Leaflet and Google Maps. This paper also explores which issues may arise when implementing these mapping frameworks within a pre-existing ASP.NET project. These aspects were evaluated through performance tests, documentation reading, and compiling experiences gained through implementing the map within the search engine. The experiments show that both Leaflet and Google Maps are viable frameworks to use when developing in-browser maps, but also that they have their pros and cons. Google Maps sports a generally higher level of performance, and a larger set of paid available services. Leaflet is a free, open-source alternative with a large plugin repository, but relies on third-party services for features such as geocoding.
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Tavassoli, Pantea. "Web-based interface for data visualization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279460.
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In the age of Big data and exponential digitalization, data visualization is becoming a ubiquitous tool to understand trends, patterns and identify deviations that better help in decision making. The purpose of this thesis is to explore how a scalable data visualization interface can be designed with the open-source web library D3.js. The interface is designed to display a range of patients’ physiological measurements to help healthcare professionals with Covid-19 diagnosis. Several prerequisites were identified through a qualitative study, which proved to alleviate the implementation process, such as choosing a robust model that can support visualizations despite discontinuous and incomplete datasets. Since faulty visualizations may lead to potential harm in the highly sensitive medical setting, a dedicated risk analysis was deemed beneficial and thus formulated. The design of the interface also revealed functionality that could be considered when implementing any visualization interface, such as the rendering of different views and features that can further assist the user in interpreting the visualizations.I en tid med Big Data och en exponentiellt växande digitalisering, blir datavisualisering ett mer förekommande verktyg för att förstå trender, mönster och identifiera avvikelser för att underlätta beslutsfattande. Syftet med studien är att utforska hur ett skalbart datavisualiseringsgränssnitt kan utformas med hjälp av det webbaserade biblioteket D3.js. Gränssnittet är utformat för att visa ett omfång av patienters fysiologiska mätvärden med syftet att hjälpa sjukvårdspersonal med diagnostiken av Covid-19. Flera förutsättningar kunde upptäckas med hjälp av en kvalitativ förstudie. Denna studie visade sig underlätta implementeringsprocessen, där bland annat en robust modell som stödjer visualiseringar trots diskontinuerliga och ofullständiga dataserier identifierades. Eftersom felaktiga, eller delvis fungerande visualiseringar kan leda till potentiell skada i den mycket känsliga medicinska miljön, ansågs en riskanalys vara fördelaktig. Därför utformades en sådan analys, som dessutom visade sig sedan kunna vara användbar i flera sammanhang. Gränssnittets design visade också på gemensam funktionalitet som kan övervägas vid implementeringen av andra visualiseringsgränssnitt, bland annat hur vyer renderas men även funktioner som vägleder användaren till att lättare kunna tolka de olika visualiseringarna.
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Sutharzan, Sreeskandarajan. "CLUSTERING AND VISUALIZATION OF GENOMIC DATA." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1563973517163859.
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Ehsanibenafati, Aida. "Visualization Tool for Sensor Data Fusion." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5677.
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In recent years researchers has focused on the development of techniques for multi-sensor data fusion systems. Data fusion systems process data from multiple sensors to develop improved estimate of the position, velocity, attributes and identity of entities such as the targets or entities of interest. Visualizing sensor data from fused data to raw data from each sensor help analysts to interpret the data and assess sensor data fusion platform, an evolving situation or threats. Immersive visualization has emerged as an ideal solution for exploration of sensor data and provides opportunities for improvement in multi sensor data fusion. The thesis aims to investigate possibilities of applying information visualization to sensor data fusion platform in Volvo. A visualization prototype is also developed to enables multiple users to interactively visualize Sensor Data Fusion platform in real-time, mainly in order to demonstrates, evaluate and analyze the platform functionality. In this industrial study two research methodologies were used; a case study and an experiment for evaluating the results. First a case study was conducted in order to find the best visualization technique for visualizing sensor data fusion platform. Second an experiment was conducted to evaluate the usability of the prototype that has been developed and make sure the user requirement were met. The visualization tool enabled us to study the effectiveness and efficiency of the visualization techniques used. The results confirm that the visualization method used is effective, efficient for visualizing sensor data fusion platform.