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.
Results
Showing 1 to 20 of 57 for “"Data Analytic"”.
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A functional data analytic approach for region level differential DNA methylation detection
… of epigenomic structural variations in NGS data. Using real and simulated data, the performance of these novel approaches are compared with an alternative method (M3D) for region level testing"--Abstract, page iv.
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Unlocking the insights: data-analytic examinations of social signals in organizational practices
Using analytics to understand social data is an emerging research field across different academic disciplines including Information Systems. Information Systems (IS) discipline places the social media-related research at the intersection of people, organizations, and technology. While the recent …
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A data analytic approach to automatic fault diagnosis and prognosis for distribution automation
… have enabled the logging of load and fault event data, referred to as pick-up activity. This pick-up activity provides a picture of the underlying circuit activity occurring between successive DA operations over a period of time and has the potential to be accessed remotely for off-line or on-line …
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Efficient simulation techniques for large-scale applications
… proposed to simulate emerging GPGPU kernels and data analytic workloads efficiently. First, TBPoint reduce the simulated instructions of GPGPU kernels using the inter-launch and intra-launch sampling approaches. Second, GPUmech improves the simulation speed of GPGPU kernels by abstracting the …
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Emotion, Depression, and Asymmetric Brain Function
… in part from the widespread use of inappropriate data analytic strategies. The present project used a novel analytic strategy to test the hypothesis that emotion processes are related to asymmetric patterns of brain activity, particularly within dorsolateral prefrontal cortex (DLPFC). While …
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The Structural Representation of Three -Way Proximity Data
… structure is fit to the observed data through minimizing the least-squares loss function; traditional implementations rely typically on gradient or sub-gradient optimization. Alternatively, scaling and clustering can be reformulated as combinatorial data analytic tasks, solvable …
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An Analytical Approach to Automate Stratigraphic Correlation using Well Logging Information
… to automate the correlation by applying the data analytic framework to formulate and solve the problem. This thesis aims to address and emphasize an opportunity to create a computer-assisted and potential process automation to overcome the cumbersome stratigraphic correlation problem. It …
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A Workload-aware Resource Management and Scheduling System for Big Data Analysis
The big data era has driven the needs for data analysis in every aspect of our daily lives. With the rapid growth of data size and complexity of data analysis models, modern big data analytic applications face the challenge to provide timely results often with limited resources. Such demand drives …
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On Some Aspects of Model Selection Variability
In this thesis, we investigate the data analytic approach to integrate the model selection uncertainty into the statistical inferences of high dimensional estimators. Two closed-form formulae of covariance matrices are derived for high dimensional bagging estimators, one for the nonparametric …
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Equivalence Tests For Repeated Measures
… for these equivalence tests to inform an applied data analytic strategy. Because results suggest that there is no one statistical test that is optimal across all situations, I compare the tests’ statistical behaviours to provide guidance in test selection. Specifically, test selection should be …
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Investigating the impact of organisational resources, entrepreneurial orientation dimensions and big data analytics on business performance of South African E-commerce SMMEs
… that influence the utilisation of big data analytic (BDA) capabilities. It is also important to understand the impact of big data analytic (BDA) capabilities on business performance (productivity and profitability). Leveraging insights from BDA capabilities is believed to create …
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Human concept cognition and semantic relations in the unified medical language system: A coherence analysis.
… theories and based on related and appropriate data-analytic tools, such as nonmetric multidimensional scaling, hierarchical clustering, and content analysis, this study aimed to conduct an exploratory investigation to answer four related questions. Divided into two groups, a total of 89 …
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Data Analytics in an Audit: Examining Fraud Risk and Audit Quality
<p>ABSTRACT</p> <p>DATA ANALYTICS IN AN AUDIT: EXAMINING FRAUD RISK AND</p> <p>AUDIT QUALITY</p> <p>by</p> <p>Sondra Smith</p> <p>This study is comprised of two papers which examine, through interviews and an experiment, the current practices of data analytics of CPA firms, whether and how fraud …
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Machine learning models for functional impairment risk prediction in ischemic stroke patients
… using computer simulations. Methods: Using data from the Precise and Rapid Assessment of Collaterals with Multi-phase CT Angiography (PROVE-IT). The Modified Rankin Scale (mRS) score was used to assess the 90-day functional impairment status. The accuracy of machine-learning models such as …
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Peer victimization and substance use in early adolescence: longitudinal analyses of risk and protective factors
… use. These questions are examined as a secondary data analysis using longitudinal data collected at four time points over a period of two years in a diverse (49% female, 51% Black, 34% Caucasian) middle school sample of 1132 early adolescents. Longitudinal structural equation modeling was used the …
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A Data Analytics Framework for Regional Voltage Control
… objective of this dissertation is to develop a data analytic based framework for regional voltage control utilizing high-speed data streams delivered from synchronized phasor measurement units. The dissertation focuses on the following three studies: The first one is centered on the development …
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Using data analytics to examine undergraduate computer science student course performance
Four studies were conducted using different data analytic techniques to give insight into how undergraduate students perform in their required courses in the computer science sequence at the University of Illinois at Urbana-Champaign. Undergraduate student data from students who majored in computer …
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Smart Data Analytics for Manufacturing Processes
The increasing multitude of powerful data analytic tools in recent years has motivated the development of smart data analytics approaches, i.e. a decision tree based super algorithm that automatically selects the most suitable method based on a systematic interrogation of the dataset. This work …
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Under Pressure: A Joint Analysis of Disability Inclusion in Clinical Psychology Training
… co-researchers to jointly interpret the survey data. Analytic foci were collaboratively selected for each group, with three iterative sessions facilitating collaborative meaning-making of preselected data. This process enabled the co-production of outcomes and robust best-practice …
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Multimedia Big Data Analytics and Fusion for Data Science
Big data is becoming increasingly prevalent in people's everyday lives due to the enormous quantity of data generated from social and economic activities worldwide. As a result, extensive research has been undertaken to support the big data revolution. However, as data grows in volume, traditional …
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