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 7 of 7 for “"Data Quality Assurance"”.
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Business Rule Generation for Product Data Quality Assurance
… are reliant on the electronic exchange of data, and are subject to difficulties caused primarily by poor data quality, leading to service failure throughout the supply chain. While the customer-oriented business sectors are well-served by available software solutions to these problems, few …
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Fish counters: what are they counting and what does it tell us?
… to detect the presence of Atlantic Salmon. The data produced from these counters is currently poorly described, with no uniform method of data quality assurance. This thesis aims to describe the signals produced and ascertain the quality and comparability of data between sites and years and to …
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Data Mining Approches to Complex Environmental Problems
Anomaly detection is the task of identifying data that deviate from historical patterns. It has many practical applications, such as data quality assurance and control (QA/QC), focused data collection, and event detection. The second portion of this dissertation develops a suite of data-driven …
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An Enterprise Architecture approach for Data Quality management within Namibian Health Information Systems
… for many developing countries, challenges with data quality management have affected the adequate use of HIS. Resilient and well-functioning HIS systems contribute to the delivery of high-quality healthcare services, enhanced operational efficiency, informed decisionmaking, and the advancement …
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Tropospheric aerosol detection over Southern Ireland using a backscatter Raman lidar
… tests were carried out to ensure strict data quality assurance for submission to the EARLINET database. Procedures include: overlap correction, telecover test, Rayleigh test and zero bin test. Raman backscatter coefficients, extinction coefficients and lidar ratio were measured from April …
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Sensor data analytics and web applications to improve monitoring and understanding of lake processes
… sensor technology, large amounts of sensor data on lake water chemistry are being generated to help researchers understand the spatial and temporal patterns of these lake processes. Each sensor generates different datasets and effectively utilizing the resulting large and diverse datasets to …
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Understanding and predicting pulmonary exacerbations in Cystic Fibrosis using Machine Learning
… vs unstable (APE episodes). Using this training data, I developed a supervised ML model (the Predictive Classifier) that was able to predict the onset of APEs with 83.6% reliability, and on average 9.5 days earlier than current clinical practice. For this reseach, I leveraged the SmartCareCF …