Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 89 for “"visual analytics"”.
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Data Mining and Visual Analytics Techniques
… a data mining techniques and information visualization methods are used since decades. In the last years a new research field is gaining importance: Visual Analytics, an outgrowth of the fields of scientific and information visualization but includes technologies from many other fields, …
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Be the Data: Embodied Visual Analytics
… important to educate students about data analytics. In particular, students without a strong mathematical background usually have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods, such as dimension reduction. …
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Optimization of parallel coordinates for visual analytics
The visualization and interaction of multidimensional data always requires optimized solutions for integrating the display, exploration and analytical reasoning of data into a kind of visual pipeline for human-centered data analysis and interpretation. However, parallel coordinate plot, as one of …
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Using Visual Analytics to Discover Bot Traffic
… awareness, this thesis proposes an interactive visual analytics system for discovering bot traffic. The system provides an interactive visualisation, with details on demand capabilities, which enables knowledge discovery from very large datasets. It enables an analyst to understand comprehensive …
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Visual Analytics for High Dimensional Simulation Ensembles
… in their analysis and exploration. Ensemble visualization provides a convenient way to convey the main characteristics of the ensemble for enhanced understanding of the simulated model. The majority of the current ensemble visualization techniques are mainly focused on analyzing either the …
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Patient Cohort Visual Analytics for Post-Treatment Care
… personalized care. This process benefits from visual analytics because it can overcome many of the challenges that arise with complex patient cohort data. Visual analytics can help to interpret treatment progressions and outcomes, and stratify cohorts by risk categories, which are crucial for …
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Detecting and mitigating human bias in visual analytics
… understanding of the role of human biases in visual data analysis. It is comprised of three high-level goals: 1. Define bias: We present four common perspectives on the term “bias” and describe how they are relevant in the context of visual data analysis. 2. Detect bias: We introduce a set of …
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Dimension Reduction and Clustering for Interactive Visual Analytics
… when building intelligent, interactive tools in visual analytics. I survey existing techniques for dimension reduction and clustering algorithms in visual analytics tools, and I explore the design space for creating projections and interactions that include dimension reduction and clustering …
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Towards Support of Visual Analytics for Synthetic Information
This thesis describes a scalable system for visualizing and exploring global synthetic populations. The implementation described in this thesis addresses the following existing limitations of the Syn- thetic Information Viewer (SIV): (i) it adds ability to support synthetic populations for the …
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KnoVA: A Reference Architecture for Knowledge-based Visual Analytics
… overcome this information overload phenomenon is visual analytics (VA). It combines the strengths of computers to process large amounts of data with human strengths such as flexibility, intuition, and contextual knowledge. In the process of VA experts apply knowledge. In many settings they apply …
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A dynamic visual analytics framework for complex temporal environments
… and excessive information. The use of visual analytics provides leverage over potential information overload challenges. Apart from automated online analysis, interactive visual tools provide significant leverage for human-driven trend analysis and pattern recognition. To facilitate …
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Supporting student success with machine learning and visual analytics
Post secondary institutions have a wealth of student data at their disposal. This data has recently been used to explore a problem that has been prevalent in the education domain for decades. Student retention is a complex issue that researchers are attempting to address using machine learning. …
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AN INFORMATION ARCHITECTURE SUPPORTING VISUAL ANALYTICS OF STUDENT DATA
The topic of this thesis is student data analytics. The ability to analyze and understand student data is of utmost importance to universities as it facilitates the tracking of student progress, along with the ability to assess the effectiveness of program improvements. The ability to process and …
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Analytic provenance for sensemaking behavioural markers in visual analytics
Studying how analysts use interactions in visualization systems is an important part of evaluating how well these interactions support analysis needs, making sense of data or generating insights. As sensemaking is inherently a fluid activity involving transitions between mental and interaction …
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VISUAL ANALYTICS FOR OPEN-ENDED TASKS IN TEXT MINING
… topic distribution. While we can spot clusters visually, it is challenging to characterize them. My research investigates an interactive method to identify clusters by assigning attributes and examining the resulting distributions. ParallelSpaces examines the understanding of topic modeling …
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Anomaly detection in GPS data based on visual analytics
… in GPS data by integrating them through a visualization and human-computer interaction interface. In this thesis we introduce GPSvas (GPS Visual Analytics System), a system that detects anomalies in GPS data using the approach of visual analytics: a conditional random field (CRF) model is …
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Exploring Engineering Applications of Visual Analytics in Virtual Reality
… of different interaction modalities, including visual, audio, and even haptic feedback, in the creation of these virtual worlds. With such a rich interaction space it is thus natural to think of VR as a well-suited environment for interactive visualisation and analytical reasoning of complex …
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Improving big data visual analytics with interactive virtual reality
… have been completed in the data mining and visual analytics community to create effective ways to further improve analysis and achieve the knowledge desired for better understanding. Our approach for improved big data visual analytics is two-fold, focusing on both visualization and …
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Visual Analytics with Biclusters: Exploring Coordinated Relationships in Context
… relationships is an important task in data analytics. For example, an intelligence analyst may want to find three suspicious people who all visited the same four cities. However, existing techniques that display individual relationships, such as between lists of entities, require repetitious …
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