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 64 for “"Data Exploration"”.
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Self-tuning data exploration checkpoint
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Data Exploration Interface for Digital Forensics
… presenting and analyzing large amounts of data. Current generation of tools universally employ three basic GUI components—trees, tables, and viewers—to present all relevant information. This approach is not scalable as increasing the size of the input data leads to a proportional increase …
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Towards expressive and scalable visual data exploration
Data visualization is the primary means by which data analysts explore patterns, trends, and insights in their data. Despite of their growing popularity, existing visualization tools (e.g., Tableau, PowerBI, Excel) are limited in their ability to automatically find desired visualizations or …
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Assisting data exploration via in-situ adaptive visualizations
Visual analytics has been widely used by data scientists to shed light on complex problems. Despite the prevalence of many visual analytics tools that empower human decision making with data-driven insights, challenges still exist that hinder users from genuinely capitalizing on insights from …
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Towards a scripting language for visual data exploration
Visualization of data is becoming increasingly important for data analysis; numerous insights can be derived from visualizations at a glance. While the information provided through visualization is powerful, the visual analysis process remains largely manual, consuming valuable man-hours. Zenvisage …
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Behavior-driven optimization techniques for scalable data exploration
… analyze and generally make sense of their data. However, with the overwhelming amounts of data that scientists collect from various instruments (e.g., telescopes, satellites, gene sequencers and field sensors), they need ways of efficiently transforming their data into interactive …
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A Visualization Framework for SiLK Data exploration and Scan Detection
… 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 negatives, where malicious activity goes undetected. Therefore, the …
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Intuitive, interactive, and scalable multi-resolution interfaces for accelerating data exploration
In this era of information explosion, data analysis plays a crucial role in decision making across domains. However, with the availability of increasingly large datasets, data analysts are often faced with two types of scalability challenges—perceptual and interactive scalability. Perceptual …
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Enabling effective visual data exploration for solvent discovery in material science
Data visualization has become increasingly important in almost all scientific fields. However, current visual analytics tools usually require redundant manual processing, resulting in the visualization process remaining overwhelming and error-prone. Zenvisage automates the process of querying for …
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Embodied Data Exploration in Immersive Environments: Application in Geophysical Data Analysis
Immersive analytics is an emerging field of data exploration and analysis in immersive environments. It is an active research area that explores human-centric approaches to data exploration and analysis based on the spatial arrangement and visualization of data elements in immersive 3D …
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Effortless data exploration with zenvisage: an expressive and interactive visual analytics system
"Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual analytics tools are rather limited in their ability to guide data scientists to interesting or desired visualizations: the process of …
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Engineering a scalable and interactive web tool for JRO data exploration using Python's bokeh library
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Developing a Modular Visual Data Manipulation Framework for Data Exploration in the Consumer Packaged Goods Industry
The rapidly increasing reliance on data analytics to drive strategic decision-making in today’s digital economy means that efficient and user-friendly data analysis tools are becoming increasingly important. Even as understanding and manipulating data becomes more critical, the technical complexity …
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The Analysis of Flight Operational Quality Assurance (FOQA) Data: Exploration of a Proposed List of Improved Safety Parameters
<p>Several FOQA parameters that could enhance air carrier safety have not been recorded and/or analyzed. Airlines have traditionally chosen a limited number of parameters for analysis (thousands have been available for recording). No study in the U.S. had addressed FOQA parameters, leading to an …
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New capabilities for large-scale exploratory data analysis
The ever-rising diversity of data generated, manipulated, and analyzed every day engenders a variety of data formats, ranging from one fixed dataset to multiple versions of a dataset stored across multiple data sources. This variety of formats has led to substantial challenges in data exploration. …
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Fusion: a Visualization Framework for Interactive Ilp Rule Mining With Applications to Bioinformatics
… aids the biologists in performing microarray data analysis by providing them with both visual data exploration and data mining capabilities. Its multiple view visual framework allows the user to choose different views for different types of data. Fusion uses Proteus, an Inductive Logic …
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Developing an interactive overview for non-visual exploration of tabular numerical information
… information from complex tabular numerical data sets non-visually. Blind and visually impaired people need to access and analyse numerical data, both in education and in professional occupations. Obtaining an overview is a necessary first step in data analysis, for which current non-visual …
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Navigating Diverse Datasets in the Face of Uncertainty
When exploring big volumes of data, one of the challenging aspects is their diversity of origin. Multiple files that have not yet been ingested into a database system may contain information of interest to a researcher, who must curate, understand and sieve their content before being able to …
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Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering
… analytic systems is critical to enabling visual data exploration. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. For example, two-dimensional layouts of high-dimensional …
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MULTISOURCE FEEDBACK LEADERSHIP RATINGS: ANALYZING FOR MEASUREMENT INVARIANCE AND COMPARING RATER GROUP IMPLICIT LEADERSHIP THEORIES
This research outlines a conceptual framework and data analysis process to examine multisource feedback (MSF) rater group differences from a leadership assessment survey, after testing the measures for equivalence. MSF gathers and compares ratings from supervisors, peer, followers and self and is …
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