Relevant bibliographies by topics / Data Analysis and Visualization / Dissertations / Theses
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Dissertations / Theses on the topic 'Data Analysis and Visualization'

Author: Grafiati
Published: 13 February 2024
Last updated: 25 July 2025

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1

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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2

Cheong, Tat Man. "Money laundering data analysis and visualization." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492978.

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3

Yang, Di. "Analysis guided visual exploration of multivariate data." Worcester, Mass. : Worcester Polytechnic Institute, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050407-005925/.

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4

Huang, Yunshui Charles. "A prototype of data analysis visualization tool." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12125.

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Wu, Yingyu. "Using Text based Visualization in Data Analysis." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1398079502.

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Alam, Sayeed Safayet. "Analysis of Eye-Tracking Data in Visualization and Data Space." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3473.

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Eye-tracking devices can tell us where on the screen a person is looking. Researchers frequently analyze eye-tracking data manually, by examining every frame of a visual stimulus used in an eye-tracking experiment so as to match 2D screen-coordinates provided by the eye-tracker to related objects and content within the stimulus. Such task requires significant manual effort and is not feasible for analyzing data collected from many users, long experimental sessions, and heavily interactive and dynamic visual stimuli. In this dissertation, we present a novel analysis method. We would instrument
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7

Song, Huaguang. "Multi-scale data sketching for large data analysis and visualization." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/832.

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Analysis and visualization of large data sets is time consuming and sometimes can be a very difficult process, especially for 3D data sets. Therefore, data processing and visualization techniques have often been used in the case of different massive data analysis for efficiency and accuracy purposes. This thesis presents a multi-scale data sketching solution, specifically for large 3D scientific data with a goal to support collaborative data management, analysis and visualization. The idea is to allow users to quickly identify interesting regions and observe significant patterns without direct
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Park, Joonam. "A visualization system for nonlinear frame analysis." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/19172.

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9

Schroeder, Michael Philipp 1986. "Analysis and visualization of multidimensional cancer genomics data." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/301436.

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Cancer is a complex disease caused by somatic alterations of the genome and epigenome in tumor cells. Increased investments and cheaper access to various technologies have built momentum for the generation of cancer genomics data. The availability of such large datasets offers many new possibilities to gain insight into cancer molecular properties. Within this scope I present two methods that exploit the broad availability of cancer genomic data: OncodriveROLE, an approach to classify mutational cancer driver genes into activating and loss of function mode of actions and MutEx, a statistical m
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Walter, Martin Alan. "Visualization techniques for the analysis of neurophysiological data." Thesis, University of Plymouth, 2004. http://hdl.handle.net/10026.1/2551.

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In order to understand the diverse and complex functions of the Human brain, the temporal relationships of vast quantities of multi-dimensional spike train data must be analysed. A number of statistical methods already exist to analyse these relationships. However, as a result of expansions in recording capability hundreds of spike trains must now be analysed simultaneously. In addition to the requirements for new statistical analysis methods, the need for more efficient data representation is paramount. The computer science field of Information Visualization is specifically aimed at producing
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Tenev, Tichomir Gospodinov. "SpreadCube--a visualization tool for exploratory data analysis." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43924.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 153-154).<br>by Tichomir Gospodinov Tenev.<br>M.Eng.
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Purcaro, Michael J. "Analysis, Visualization, and Machine Learning of Epigenomic Data." eScholarship@UMMS, 2017. https://escholarship.umassmed.edu/gsbs_diss/938.

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The goal of the Encyclopedia of DNA Elements (ENCODE) project has been to characterize all the functional elements of the human genome. These elements include expressed transcripts and genomic regions bound by transcription factors (TFs), occupied by nucleosomes, occupied by nucleosomes with modified histones, or hypersensitive to DNase I cleavage, etc. Chromatin Immunoprecipitation (ChIP-seq) is an experimental technique for detecting TF binding in living cells, and the genomic regions bound by TFs are called ChIP-seq peaks. ENCODE has performed and compiled results from tens of thousands of
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13

Li, Zhongli. "Towards a Cloud-based Data Analysis and Visualization System." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35030.

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In recent years, increasing attentions are paid on developing exceptional technologies for efficiently processing massive collection of heterogeneous data generated by different kinds of sensors. While we have observed great successes of utilizing big data in many innovative applications, the need on integrating information poses new challenges caused by the heterogeneity of the data. In this thesis, we target at geo-tagged data, and propose a cloud based platform named City Digital Pulse (CDP), where a unified mechanism and extensible architecture are provided to facilitate the various aspect
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Henning, Gustav. "Visualization of neural data : Dynamic representation and analysis of accumulated experimental data." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166770.

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The scientific method is an integral part of the investigation and exploration of hypotheses. Although procedures may vary from one field to the next, most have common identifiable stages. Today, there is no lack of tools that illustrate data in different graphical mediums. This thesis focuses instead on the type of tools that researchers use to investigate their hypotheses’ validity.When a sufficient amount of data is gathered, it can be presented for analysis in meaningful ways to illustrate patterns or abnormalities that would otherwise go unnoticed when only viewed in raw numbers. However
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Töpel, Johanna. "Initial Analysis and Visualization of Waveform Laser Scanner Data." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2864.

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<p>Conventional airborne laser scanner systems output the three-dimensional coordinates of the surface location hit by the laser pulse. Data storage capacity and processing speeds available today has made it possible to digitally sample and store the entire reflected waveform, instead of only extracting the coordinates. Research has shown that return waveforms can give even more detailed insights into the vertical structure of surface objects, surface slope, roughness and reflectivity than the conventional systems. One of the most important advantages with registering the waveforms is that it
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Labitzke, Björn [Verfasser]. "Visualization and analysis of multispectral image data / Björn Labitzke." Siegen : Universitätsbibliothek der Universität Siegen, 2014. http://d-nb.info/1057805076/34.

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Grünfeld, Katrin. "Visualization, integration and analysis of multi-element geochemical data." Doctoral thesis, KTH, Mark- och vattenteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169.

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generated large databases containing information on the concentrations of chemical elements in rocks, surface sediments and biogeochemical materials. Regional geochemical data being imprecise, multivariate, spatially auto-correlated and non-normally distributed pose specific problems to the choice of data analysis methods. Commonly several methods are combined, and the choice of techniques depends on the characteristics of data as well as the purpose of study. One critical issue is dealing with extreme data values (or outliers) in the initial stages of analysis. Another common problem is that
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Grünfeld, Katrin. "Visualization, integration and analysis of multi-element geochemical data /." Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169.

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19

Pheng, Sokhom. "Dynamic data structure analysis and visualization of Java programs." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98768.

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For many years, programmers have faced the problem of reading and trying to understand other programmers' code, either to maintain it or to learn from it. Analysis of dynamic data structure usage is useful for both program understanding and for improving the accuracy of other program analyses.<br>Data structure usage has been the target of various static techniques. Static approaches, however, may suffer from reduced accuracy in complex situations and have the potential to be overly-conservative in their approximation. An accurate, clean picture of runtime heap activity is difficult to achieve
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Ding, Hao. "Visualization and Integrative analysis of cancer multi-omics data." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1467843712.

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Lozano, Prieto David. "Data analysis and visualization of the 360degrees interactional datasets." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88985.

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Nowadays, there has been an increasing interest in using 360degrees video in medical education. Recent efforts are starting to explore how nurse students experience and interact with 360degrees videos. However, once these interactions have been registered in a database, there is a lack of ways to analyze these data, which generates a necessity of creating a reliable method that can manage all this collected data, and visualize the valuable insights of the data. Hence, the main goal of this thesis is to address this challenge by designing an approach to analyze and visualize this kind of data.
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22

El-Shehaly, Mai Hassan. "A Visualization Framework for SiLK Data exploration and Scan Detection." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/34606.

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Network packet traces, despite having a lot of noise, contain priceless information, especially for investigating security incidents or troubleshooting performance problems. However, given the gigabytes of flow crossing a typical medium sized enterprise network every day, spotting malicious activity and analyzing trends in network behavior becomes a tedious task. Further, computational mechanisms for analyzing such data usually take substantial time to reach interesting patterns and often mislead the analyst into reaching false positives, benign traffic being identified as malicious, or false
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Woodring, Jonathan Lee. "Visualization of Time-varying Scientific Data through Comparative Fusion and Temporal Behavior Analysis." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1243549189.

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24

Ashkiani, Shahin. "Four essays on data visualization and anomaly detection of data envelopment analysis problems." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/669593.

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La visualización de datos es un tema relativamente descuidado en el campo del Análisis Envolvente de Datos(DEA). En los manuales completos de DEA casi no hay ningún capítulo o sección dedicada a los métodos de visualización de datos, y en las aplicaciones de DEA, generalmente se asigna un papel muy limitado y nada principal en la visualización de datos. Sin embargo, la representación gráfica de los datos puede tener beneficios definitivos para los profesionales e investigadores del campo, hasta tal punto que la interpretación resultante de los problemas de la DEA a través de la visualización n
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Wictorin, Sebastian. "Streamlining Data Journalism: Interactive Analysis in a Graph Visualization Environment." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22498.

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This thesis explores the topic of how one can streamline a data journalists analytical workflow in a graph visualization environment. Interactive graph visualizations have been used recently by data journalists to investigate the biggest leaks of data in history. Graph visualizations empower users to find patterns in their connected data, and as the world continuously produces more data, the more important it becomes to make sense of it. The exploration was done by conducting semi-structured interviews with users, which illuminated three categories of insights called Graph Readability, Charts
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Chaudhuri, Abon. "Geometric and Statistical Summaries for Big Data Visualization." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1382235351.

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Nyumbeka, Dumisani Joshua. "Using data analysis and Information visualization techniques to support the effective analysis of large financial data sets." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/12983.

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There have been a number of technological advances in the last ten years, which has resulted in the amount of data generated in organisations increasing by more than 200% during this period. This rapid increase in data means that if financial institutions are to derive significant value from this data, they need to identify new ways to analyse this data effectively. Due to the considerable size of the data, financial institutions also need to consider how to effectively visualise the data. Traditional tools such as relational database management systems have problems processing large amounts o
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Kriegel, Francesco. "Visualization of Conceptual Data with Methods of Formal Concept Analysis." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-125309.

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Draft and proof of an algorithm computing incremental changes within a labeled layouted concept lattice upon insertion or removal of an attribute column in the underlying formal context. Furthermore some implementational details and mathematical background knowledge are presented<br>Entwurf und Beweis eines Algorithmus zur Berechnung inkrementeller Änderungen in einem beschrifteten dargestellten Begriffsverband beim Einfügen oder Entfernen einer Merkmalsspalte im zugrundeliegenden formalen Kontext. Weiterhin sind einige Details zur Implementation sowie zum mathematischen Hintergrundwissen darg
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Chen, Chun-Ming. "Data Summarization for Large Time-varying Flow Visualization and Analysis." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469141137.

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Tata, Maitreyi. "Data analytics on Yelp data set." Kansas State University, 2017. http://hdl.handle.net/2097/38237.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>In this report, I describe a query-driven system which helps in deciding which restaurant to invest in or which area is good to open a new restaurant in a specific place. Analysis is performed on already existing businesses in every state. This is based on certain factors such as the average star rating, the total number of reviews associated with a specific restaurant, the price range of the restaurant etc. The results will give an idea of successful restaurants in a city, which helps you decide where
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Phillips, Brandon. "The Relationship Between Data Visualization and Task Performance." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699897/.

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We are entering an era of business intelligence and big data where simple tables and other traditional means of data display cannot deal with the vast amounts of data required to meet the decision-making needs of businesses and their clients. Graphical figures constructed with modern visualization software can convey more information than a table because there is a limit to the table size that is visually usable. Contemporary decision performance is influenced by the task domain, the user experience, and the visualizations themselves. Utilizing data visualization in task performance to aid i
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Diner, Casri. "Visualizing Data With Formal Concept Analysis." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1046325/index.pdf.

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In this thesis, we wanted to stress the tendency to the geometry of data. This should be applicable in almost every branch of science, where data are of great importance, and also in every kind of industry, economy, medicine etc. Since machine&#039<br>s hard-disk capacities which is used for storing datas and the amount of data you can reach through internet is increasing day by day, there should be a need to turn this information into knowledge. This is one of the reasons for studying formal concept analysis. We wanted to point out how this application is related with algebra and logic. The
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Scelfo, Tony (Tony W. ). "Data visualization of biological microscopy image analyses." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37073.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references.<br>The Open Microscopy Environment (OME) provides biologists with a framework to store, analyze and manipulate large sets of image data. Current microscopes are capable of generating large numbers of images and when coupled with automated analysis routines, researchers are able to generate intractable sets of data. I have developed an extension to the OME toolkit, named the LoViewer, which allows researchers to quickly identify cl
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Wang, Ko-Chih. "Distribution-based Summarization for Large Scale Simulation Data Visualization and Analysis." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555452764885977.

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Wan, Yong. "Fluorender, an interactive tool for confocal microscopy data visualization and analysis." Thesis, The University of Utah, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3592436.

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<p> Confocal microscopy has become a popular imaging technique in biology research in recent years. It is often used to study three-dimensional (3D) structures of biological samples. Confocal data are commonly multichannel, with each channel resulting from a different fluorescent staining. This technique also results in finely detailed structures in 3D, such as neuron fibers. Despite the plethora of volume rendering techniques that have been available for many years, there is a demand from biologists for a flexible tool that allows interactive visualization and analysis of multichannel confoca
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Cutler, Darren W., and Tyler J. Rasmussen. "Usability Testing and Workflow Analysis of the TRADOC Data Visualization Tool." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17350.

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Approved for public release; distribution is unlimited<br>The volume of data available to military decision makers is vast. Leaders need tools to sort, analyze, and present information in an effective manner. Software complexity is also increasing, with user interfaces becoming more intricate and interactive. The Data Visualization Tool (DaViTo) is an effort by TRAC Monterey to produce a tool for use by personnel with little statistical background to process and display this data. To meet the program goals and make analytical capabilities more widely available, the user interface and data repr
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Ke, Xian 1981. "A multi-tier framework for dynamic data collection, analysis, and visualization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28416.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (leaves 52-53).<br>This thesis describes a framework for collecting, analyzing, and visualizing dynamic data, particularly data gathered through Web questionnaires. The framework addresses challenges such as promoting user participation, handling missing or invalid data, and streamlining the data interpretation process. Tools in the framework provide an intuitive way to build robust questionnaires on the Web and perform on-the-fly analysis
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Reshef, David N. "VisuaLyzer : an approach for rapid visualization and analysis of epidemiological data." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53135.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br>Includes bibliographical references (leaves 112-113).<br>The ability to capture, store, and manage massive amounts of data is changing virtually every aspect of science, technology, and medicine. This new 'data age' calls for innovative methods to mine and interact with information. VisuaLyzer is a platform designed to identify and investigate meaningful relationships between variables within large datasets through rapid, dynamic, and intelligent data exploration. VisuaLyzer
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Jagdish, Deepak. "IMMERSION : a platform for visualization and temporal analysis of email data." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95606.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-76).<br>Visual narratives of our lives enable us to reflect upon our past relationships, collaborations and significant life events. Additionally, they can also serve as digital archives, thus making it possible for others to access, learn from and reflect upon our life's trajectory long after we are gone. In this thesis, I propose and develop a webbased platform called Immer
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Singh, Shailendra. "Smart Meters Big Data : Behavioral Analytics via Incremental Data Mining and Visualization." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35244.

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The big data framework applied to smart meters offers an exception platform for data-driven forecasting and decision making to achieve sustainable energy efficiency. Buying-in consumer confidence through respecting occupants' energy consumption behavior and preferences towards improved participation in various energy programs is imperative but difficult to obtain. The key elements for understanding and predicting household energy consumption are activities occupants perform, appliances and the times that appliances are used, and inter-appliance dependencies. This information can be extracted f
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Shah, Dhaval Kashyap. "Impact of Visualization on Engineers – A Survey." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6385.

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In the recent years, there has been a tremendous growth in data. Numerous research and technologies have been proposed and developed in the field of Visualization to cope with the associated data analytics. Despite these new technologies, the pace of people’s capacity to perform data analysis has not kept pace with the requirement. Past literature has hinted as to various reasons behind this disparity. The purpose of this research is to demonstrate specifically the usage of Visualization in the field of engineering. We conducted the research with the help of a survey identifying the places whe
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Johansson, Jimmy. "Efficient Information Visualization of Multivariate and Time-Varying Data." Doctoral thesis, Linköping : Department of Science and Technology, Linköping University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11643.

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Ribler, Randy L. "Visualizing Categorical Time Series Data with Applications to Computer and Communications Network Traces." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30314.

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Visualization tools allow scientists to comprehend very large data sets and to discover relationships which are otherwise difficult to detect. Unfortunately, not all types of data can be visualized easily using existing tools. In particular, long sequences of nonnumeric data cannot be visualized adequately. Examples of this type of data include trace files of computer performance information, the nucleotides in a genetic sequence, a record of stocks traded over a period of years, and the sequence of words in this document. The term categorical time series is defined and used to describe this f
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Jansson, Mattias, and Jimmy Johansson. "Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques." Thesis, Linköping University, Department of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1716.

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<p>This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. </p><p>In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. </p><p>In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As
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Chakraborty, Soham. "DATA ASSIMILATION AND VISUALIZATION FOR ENSEMBLE WILDLAND FIRE MODELS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/529.

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This thesis describes an observation function for a dynamic data driven application system designed to produce short range forecasts of the behavior of a wildland fire. The thesis presents an overview of the atmosphere-fire model, which models the complex interactions between the fire and the surrounding weather and the data assimilation module which is responsible for assimilating sensor information into the model. Observation plays an important role in data assimilation as it is used to estimate the model variables at the sensor locations. Also described is the implementation of a portable a
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Supiratana, Panon. "Graphical visualization and analysis tool of data entities in embedded systems engineering." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10428.

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Several decades ago, computer control systems known as Electric Control Units (ECUs) were introduced to the automotive industry. Mechanical hardware units have since then increasingly been replaced by computer controlled systems to manage complex tasks such as airbag, ABS, cruise control and so forth. This has lead to a massive increase of software functions and data which all needs to be managed. There are several tools and techniques for this, however, current tools and techniques for developing real-time embedded system are mostly focusing on software functions, not data. Those tools do not
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Akhavian, Reza. "A Framework for Process Data Collection, Analysis, and Visualization in Construction Projects." Master's thesis, University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5092.

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Automated data collection, simulation and visualization can substantially enhance the process of designing, analysis, planning, and control of many engineering processes. In particular, managing processes that are dynamic in nature can significantly benefit from such techniques. Construction projects are good examples of such processes where a variety of equipment and resources constantly interact inside an evolving environment. Management of such settings requires a platform capable of providing decision-makers with updated information about the status of project entities and assisting site p
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Sugaya, Andrew (Andrew Kiminari). "iDiary : compression, analysis, and visualization of GPS data to predict user activities." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77009.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 91-93).<br>"What did you do today?" When we hear this question, we try to think back to our day's activities and locations. When we end up drawing a blank on the details of our day, we reply with a simple, "not much." Remembering our daily activities is a difficult task. For some, a manual diary works. For the rest of us, however, we don't have the time to (or simply don't want to) manually enter
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Nguyen, Neal Huynh. "Logging, Visualization, and Analysis of Network and Power Data of IoT Devices." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1990.

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There are approximately 23.14 billion IoT(Internet of Things) devices currently in use worldwide. This number is projected to grow to over 75 billion by 2025. Despite their ubiquity little is known about the security and privacy implications of IoT devices. Several large-scale attacks against IoT devices have already been recorded. To help address this knowledge gap, we have collected a year’s worth of network traffic and power data from 16 common IoT devices. From this data, we show that we can identify different smart speakers, like the Echo Dot, from analyzing one minute of power data on a
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Gou, Zaiyong. "Scientific visualization and exploratory data analysis of a large spatial flow dataset." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1284991801.

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