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 21 for “"Data analysts"”.
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Visualizing database queries
Data analysts operating on large volumes of data often rely on visualizations to interpret the results of queries. However, finding the right visualization for a query is a laborious and time-consuming task. We propose SEEDB, a system that partially automates this task: given a query, SEEDB …
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Visualisation of data to optimise strategic decision making
… that should be adopted when developing data visualisations for effective strategic decision making. 1.1.1 Main problem statement: Big data is produced at exponential rates and organisational executives may not possess the appropriate skill or knowledge to consume it for rigorous and …
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Attribute-Level Versioning: A Relational Mechanism for Version Storage and Retrieval
Data analysts today have at their disposal a seemingly endless supply of data and repositories hence, datasets from which to draw. New datasets become available daily thus making the choice of which dataset to use difficult. Furthermore, traditional data analysis has been conducted using structured …
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Information visualization for the people
… as the interactive, graphical presentation of data, is on the verge of a significant paradigm shift brought on by the continued maturation of the Information Age. Its traditional role as a scientific tool deployed by rigorous data analysts is in the process of expanding to include more …
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Can an LLM find its way around a Spreadsheet?
… contexts, and one of the most vexing challenges data analysts face is performing data cleaning prior to analysis and evaluation. The ad-hoc and arbitrary nature of data cleaning problems, such as typos, inconsistent formatting, missing values, and a lack of standardization, often creates the need …
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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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LEO: an LLM-Powered EDA Overview
… notebooks impose a linear structure that impedes data analysts’ sensemaking process with overwritten cells, dead-end code, and fragmented logic. This challenge is especially pronounced when analysts either encounter a notebook authored by someone else or revisit a self-authored notebook after …
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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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AGGREGATIVE EXPERTISE: A GLOBAL HISTORY OF HOUSING, INFORMATION SCIENCE, AND THE DEPROFESSIONALIZATION OF THE ARCHITECT, 1973-82
… with sociologists, computer scientists, and data analysts.
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Improving Causal Inference and Attribute Prediction Through Visual Information
… confounding variables are attributes in existing data, but sometimes they can be missing from the existing data. In those cases, data analysts have to look for confounders from outside sources such as tables, knowledge graphs, and text. Our focus is to look for confounding variables from visual …
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Bayesian Model Averaging and Variable Selection in Multivariate Ecological Models
… area in modern applied statistics that provides data analysts with an efficient tool for discovering promising models and obtaining esti-mates of their posterior probabilities via Markov chain Monte Carlo (MCMC). These probabilities can be further used as weights for model averaged predictions …
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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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Bridging the gap: factors driving retail analytics adoption in traditional retail businesses
… resources, and stringent regulatory demands on data-driven decision-making. A multi-case qualitative study of three large and mid-tier traditional retail chains in South Africa was conducted, involving 15 participants including store managers, IT directors, data analysts, marketing executives, …
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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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Continuously Extensible Information Systems: Extending the 5S Framework by Integrating UX and Workflows
… goals. Their goals include everything from data collection to analysis to reporting. Their research commonly involves an analysis of an extensive collection of data such as tweets or web pages. Without support -- such as by our lab, developers, or data analysts/scientists -- they would …
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Exploring the Impact of Business Intelligence (BI) Use on Organisational Power Dynamics: A National Health Service (NHS) Case Study
… impact organisational effectiveness, facilitate data driven decision making and supposedly overcome intuitive decision making, the extent to which BI impacts and alters power dynamics between organisational actors across the organisation has received little attention. Accordingly, this research …
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Tag based Bayesian latent class models for movies : economic theory reaches out to big data science
… massive scale and in doing so generate a flow of data driven research. Not limited by the multiple assumptions made in economic theory, data analysts deal with this type of commodity in a less constrained way, incorporating the variety of item characteristics, as well as their co-use by agents. …
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Analysis of spatio-social relations in a photographic archive (Flickr)
… 1. Collecting and classifying spatio-social data, 2. Disambiguating place names that people use to refer to their homes and 3. Analysis of data of this kind (numerical and visual). The source of spatio-social data used in this work is Flickr. Flickr is a yahoo photo sharing site. Users have a …
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Assessment of Drowsy-Related Critical Incidents and the 2004 Revised Hours-of-Service Regulations
… Hours-of-Service regulations. To do this, recent data were used from a Field Operational Test conducted by the Virginia Tech Transportation Institute in which 103 participants drove in an instrumented heavy vehicle for up to 16 weeks; video data, and sensor data were collected from each …
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META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS
… information systems track and record in-depth data regarding activities performed within their business processes. The event data describes the actual process performance along with several possible attributes. Process mining stands as a set of techniques that leverage insights from event data. …
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